2022

AlTassan, R., AlQudairy, H., Alromayan, R., Alfalah, A., AlHarbi, O. A., González-Álvarez, A. C., Arold, S. T., & Kaya, N. (2022). Clinical, Radiological, and Genetic Characterization of a Patient with a Novel Homoallelic Loss-of-Function Variant in DNM1. Genes, 13(12), 2252. https://doi.org/10.3390/genes13122252
Bajaffer, A., Mineta, K., Magistretti, P., & Gojobori, T. (2022). Lactate-mediated neural plasticity genes emerged during the evolution of memory systems. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-23784-8
Gallagher, A. J., Brownscombe, J. W., Alsudairy, N. A., Casagrande, A. B., Fu, C., Harding, L., Harris, S. D., Hammerschlag, N., Howe, W., Huertas, A. D., Kattan, S., Kough, A. S., Musgrove, A., Payne, N. L., Phillips, A., Shea, B. D., Shipley, O. N., Sumaila, U. R., Hossain, M. S., & Duarte, C. M. (2022). Tiger sharks support the characterization of the world’s largest seagrass ecosystem. Nature Communications, 13(1). https://doi.org/10.1038/s41467-022-33926-1
Hurtado-McCormick, V., Trevathan-Tackett, S. M., Bowen, J. L., Connolly, R. M., Duarte, C. M., & Macreadie, P. I. (2022). Pathways for Understanding Blue Carbon Microbiomes with Amplicon Sequencing. Microorganisms, 10(11), 2121. https://doi.org/10.3390/microorganisms10112121
He, Y., Yu, H., Huffman, A., Lin, A. Y., Natale, D. A., Beverley, J., Zheng, L., Perl, Y., Wang, Z., Liu, Y., Ong, E., Wang, Y., Huang, P., Tran, L., Du, J., Shah, Z., Shah, E., Desai, R., Huang, H., … Smith, B. (2022). A comprehensive update on CIDO: the community-based coronavirus infectious disease ontology. Journal of Biomedical Semantics, 13(1). https://doi.org/10.1186/s13326-022-00279-z
Xiong, L., Tian, K., Li, Y., Ning, W., Gao, X., & Zhang, Q. C. (2022). Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space. Nature Communications, 13(1). https://doi.org/10.1038/s41467-022-33758-z
Alsanie, W. F., Abdelrahman, S., Alhomrani, M., Gaber, A., Alosimi, E. A., Habeeballah, H., Alkhatabi, H. A., Felimban, R. I., Hauser, C. A. E., Tayeb, H. H., Alamri, A. S., Alamri, A., Raafat, B. M., Alswat, K. A., Althobaiti, Y. S., & Asiri, Y. A. (2022). The Influence of Prenatal Exposure to Quetiapine Fumarate on the Development of Dopaminergic Neurons in the Ventral Midbrain of Mouse Embryos. International Journal of Molecular Sciences, 23(20), 12352. https://doi.org/10.3390/ijms232012352
Eckardt, N. A., Ainsworth, E. A., Bahuguna, R. N., Broadley, M. R., Busch, W., Carpita, N. C., Castrillo, G., Chory, J., DeHaan, L. R., Duarte, C. M., Henry, A., Jagadish, S. V. K., Langdale, J., Leakey, A. D. B., Liao, J. C., Lu, K.-J., McCann, M. C., McKay, J. K., Odeny, D. A., … Zhang, X. (2022). Climate change challenges, plant science solutions. The Plant Cell. https://doi.org/10.1093/plcell/koac303
Aldosary, M., Alsagob, M., AlQudairy, H., González-Álvarez, A. C., Arold, S. T., Dababo, M. A., Alharbi, O. A., Almass, R., AlBakheet, A., AlSarar, D., Qari, A., Al-Ansari, M. M., Oláhová, M., Al-Shahrani, S. A., AlSayed, M., Colak, D., Taylor, R. W., AlOwain, M., & Kaya, N. (2022). A Novel Homozygous Founder Variant of RTN4IP1 in Two Consanguineous Saudi Families. Cells, 11(19), 3154. https://doi.org/10.3390/cells11193154
Moshkov, M., Zielosko, B., & Tetteh, E. T. (2022). Selected Data Mining Tools for Data Analysis in Distributed Environment. Entropy, 24(10), 1401. https://doi.org/10.3390/e24101401
Maria, I. P., Griggs, S., Rashid, R. B., Paulsen, B. D., Surgailis, J., Thorley, K., Le, V. N., Harrison, G. T., Combe, C., Hallani, R., Giovannitti, A., Paterson, A. F., Inal, S., Rivnay, J., & McCulloch, I. (2022). Enhancing the Backbone Coplanarity of n-Type Copolymers for Higher Electron Mobility and Stability in Organic Electrochemical Transistors. Chemistry of Materials, 34(19), 8593–8602. https://doi.org/10.1021/acs.chemmater.2c01552
Pessarrodona, A., Assis, J., Filbee-Dexter, K., Burrows, M. T., Gattuso, J.-P., Duarte, C. M., Krause-Jensen, D., Moore, P. J., Smale, D. A., & Wernberg, T. (2022). Global seaweed productivity. Science Advances, 8(37). https://doi.org/10.1126/sciadv.abn2465
Han, W., Cheng, Y., Chen, J., Zhong, H., Hu, Z., Chen, S., Zong, L., Hong, L., Chan, T.-F., King, I., Gao, X., & Li, Y. (2022). Self-supervised contrastive learning for integrative single cell RNA-seq data analysis. Briefings in Bioinformatics, 23(5). https://doi.org/10.1093/bib/bbac377
Li, H., Li, H., Zhou, J., & Gao, X. (2022). SD2: spatially resolved transcriptomics deconvolution through integration of dropout and spatial information. Bioinformatics. https://doi.org/10.1093/bioinformatics/btac605
Zheng, K., Zhao, H., Zhao, Q., Wang, B., Gao, X., & Wang, J. (2022). NASMDR: a framework for miRNA-drug resistance prediction using efficient neural architecture search and graph isomorphism networks. Briefings in Bioinformatics, 23(5). https://doi.org/10.1093/bib/bbac338
Rehman, Z. U., Momin, A. A., Aldehaiman, A., Irum, T., Grünberg, R., & Arold, S. T. (2022). The exceptionally efficient quorum quenching enzyme LrsL suppresses Pseudomonas aeruginosa biofilm production. Frontiers in Microbiology, 13. https://doi.org/10.3389/fmicb.2022.977673
Schultz, J., Parise, M. T. D., Parise, D., Medeiros, L. G., Sousa, T. J., Kato, R. B., Uetanabaro, A. P. T., Araújo, F., Ramos, R. T. J., de Castro Soares, S., Brenig, B., de Carvalho Azevedo, V. A., Góes-Neto, A., & Rosado, A. S. (2022). Unraveling the Genomic Potential of the Thermophilic Bacterium Anoxybacillus flavithermus from an Antarctic Geothermal Environment. Microorganisms, 10(8), 1673. https://doi.org/10.3390/microorganisms10081673
Li, C., Zheng, H., Xiong, J., Huang, Y., Li, H., Jin, H., Ai, S., Wang, Y., Su, T., Sun, G., Xiao, X., Fu, T., Wang, Y., Gao, X., & Liang, P. (2022). miR-596-3p suppresses brain metastasis of non-small cell lung cancer by modulating YAP1 and IL-8. Cell Death & Disease, 13(8). https://doi.org/10.1038/s41419-022-05062-7
Momin, A. A., Mendes, T., Barthe, P., Faure, C., Hong, S., Yu, P., Kadaré, G., Jaremko, M., Girault, J.-A., Jaremko, Ł., & Arold, S. T. (2022). PYK2 senses calcium through a disordered dimerization and calmodulin-binding element. Communications Biology, 5(1). https://doi.org/10.1038/s42003-022-03760-8
Cui, H., Yi, H., Bao, H., Tan, Y., Tian, C., Shi, X., Gan, D., Zhang, B., Liang, W., Chen, R., Zhu, Q., Fang, L., Gao, X., Huang, H., Tian, R., Sperling, S. R., Hu, Y., & Chen, W. (2022). The SWI/SNF chromatin remodeling factor DPF3 regulates metastasis of ccRCC by modulating TGF-β signaling. Nature Communications, 13(1). https://doi.org/10.1038/s41467-022-32472-0
Alghamdi, S. M., Schofield, P. N., & Hoehndorf, R. (2022). Contribution of model organism phenotypes to the computational identification of human disease genes. Disease Models & Mechanisms, 15(7). https://doi.org/10.1242/dmm.049441
Luo, X., Wang, X., Yao, Y., Gao, X., & Zhang, L. (2022). Unveiling the “Template-Dependent” Inhibition on the Viral Transcription of SARS-CoV-2. The Journal of Physical Chemistry Letters, 7197–7205. https://doi.org/10.1021/acs.jpclett.2c01314
Luo, X., Wang, X., Yao, Y., Gao, X., & Zhang, L. (2022). Unveiling the “Template-Dependent” Inhibition on the Viral Transcription of SARS-CoV-2. The Journal of Physical Chemistry Letters, 13(31), 7197–7205. https://doi.org/10.1021/acs.jpclett.2c01314
Santos Correa, S., Schultz, J., Lauersen, K. J., & Soares Rosado, A. (2022). Natural carbon fixation and advances in synthetic engineering for redesigning and creating new fixation pathways. Journal of Advanced Research. https://doi.org/10.1016/j.jare.2022.07.011
Arab, W. T., Susapto, H. H., Alhattab, D., & Hauser, C. A. E. (2022). Peptide nanogels as a scaffold for fabricating dermal grafts and 3D vascularized skin models. Journal of Tissue Engineering, 13, 204173142211118. https://doi.org/10.1177/20417314221111868
Koklu, A., Wustoni, S., Guo, K., Silva, R., Salvigni, L., Hama, A., Diaz‐Galicia, E., Moser, M., Marks, A., McCulloch, I., Grünberg, R., Arold, S. T., & Inal, S. (2022). Convection Driven Ultrarapid Protein Detection via Nanobody‐Functionalized Organic Electrochemical Transistors. Advanced Materials, 2202972. Portico. https://doi.org/10.1002/adma.202202972
Bajic, V. P., Salhi, A., Lakota, K., Radovanovic, A., Razali, R., Zivkovic, L., Spremo-Potparevic, B., Uludag, M., Tifratene, F., Motwalli, O., Marchand, B., Bajic, V. B., Gojobori, T., Isenovic, E. R., & Essack, M. (2022). DES-Amyloidoses “Amyloidoses through the looking-glass”: A knowledgebase developed for exploring and linking information related to human amyloid-related diseases. PLOS ONE, 17(7), e0271737. https://doi.org/10.1371/journal.pone.0271737
Albaradei, S., Albaradei, A., Alsaedi, A., Uludag, M., Thafar, M. A., Gojobori, T., Essack, M., & Gao, X. (2022). MetastaSite: Predicting metastasis to different sites using deep learning with gene expression data. Frontiers in Molecular Biosciences, 9. https://doi.org/10.3389/fmolb.2022.913602
Alsanie, W. F., Abdelrahman, S., Alhomrani, M., Gaber, A., Habeeballah, H., Alkhatabi, H. A., Felimban, R. I., Hauser, C. A. E., Tayeb, H. H., Alamri, A. S., Raafat, B. M., Anwar, S., Alswat, K. A., Althobaiti, Y. S., & Asiri, Y. A. (2022). Prenatal Exposure to Gabapentin Alters the Development of Ventral Midbrain Dopaminergic Neurons. Frontiers in Pharmacology, 13. https://doi.org/10.3389/fphar.2022.923113
Peixoto, R. S., Voolstra, C. R., Sweet, M., Duarte, C. M., Carvalho, S., Villela, H., Lunshof, J. E., Gram, L., Woodhams, D. C., Walter, J., Roik, A., Hentschel, U., Thurber, R. V., Daisley, B., Ushijima, B., Daffonchio, D., Costa, R., Keller-Costa, T., Bowman, J. S., … Berg, G. (2022). Harnessing the microbiome to prevent global biodiversity loss. Nature Microbiology. https://doi.org/10.1038/s41564-022-01173-1
Abdelrahman, S., Alsanie, W. F., Khan, Z. N., Albalawi, H. I., Felimban, R. I., Moretti, M., Steiner, N., Chaudhary, A. G., & Hauser, C. A. E. (2022). A Parkinson’s disease model composed of 3D bioprinted dopaminergic neurons within a biomimetic peptide scaffold. Biofabrication, 14(4), 044103. https://doi.org/10.1088/1758-5090/ac7eec
Wesselmann, M., Geraldi, N. R., Marbà, N., Hendriks, I. E., Díaz-Rúa, R., & Duarte, C. M. (2022). eDNA Reveals the Associated Metazoan Diversity of Mediterranean Seagrass Sediments. Diversity, 14(7), 549. https://doi.org/10.3390/d14070549
Blanco-Sacristán, J., Johansen, K., Duarte, C. M., Daffonchio, D., Hoteit, I., & McCabe, M. F. (2022). Mangrove distribution and afforestation potential in the Red Sea. Science of The Total Environment, 843, 157098. https://doi.org/10.1016/j.scitotenv.2022.157098
Blanco-Sacristán, J., Johansen, K., Duarte, C. M., Daffonchio, D., Hoteit, I., & McCabe, M. F. (2022). Mangrove distribution and afforestation potential in the Red Sea. Science of The Total Environment, 843, 157098. https://doi.org/10.1016/j.scitotenv.2022.157098
Laref, S., Wang, B., Inal, S., Al-Ghamdi, S., Gao, X., & Gojobori, T. (2022). A Peculiar Binding Characterization of DNA (RNA) Nucleobases at MoOS-Based Janus Biosensor: Dissimilar Facets Role on Selectivity and Sensitivity. Biosensors, 12(7), 442. https://doi.org/10.3390/bios12070442
Koklu, A., Guo, K., Wustoni, S., Grunberg, R., Arold, S., & Inal, S. (2022). Pathogen and Protein Detection using Organic Electronics. 2022 6th IEEE Electron Devices Technology & Manufacturing Conference (EDTM). https://doi.org/10.1109/edtm53872.2022.9798008
Huntington, B., Zhao, L., Bron, P., Shahul Hameed, U. F., Arold, S. T., & Qureshi, B. M. (2022). Thicker Ice Improves the Integrity and Angular Distribution of CDC48A Hexamers on Cryo-EM Grids. Frontiers in Molecular Biosciences, 9. https://doi.org/10.3389/fmolb.2022.890390
Khan, A., Bruno, L. P., Alomar, F., Umair, M., Pinto, A. M., Khan, A. A., Khan, A., Saima, Fabbiani, A., Zguro, K., Furini, S., Mencarelli, M. A., Renieri, A., Resciniti, S., Peña-Guerra, K. A., Guzmán-Vega, F. J., Arold, S. T., Ariani, F., & Khan, S. N. (2022). SPTBN5, Encoding the βV-Spectrin Protein, Leads to a Syndrome of Intellectual Disability, Developmental Delay, and Seizures. Frontiers in Molecular Neuroscience, 15. https://doi.org/10.3389/fnmol.2022.877258
Zhang, J., Vancea, A. I., & Arold, S. T. (2022). Targeting plant UBX proteins: AI-enhanced lessons from distant cousins. Trends in Plant Science. https://doi.org/10.1016/j.tplants.2022.05.012
Moshkov, M. (2022). Decision trees for regular factorial languages. Array, 15, 100203. https://doi.org/10.1016/j.array.2022.100203
Alshehri, S., Karan, R., Ghalayini, S., Kahin, K., Khan, Z., Renn, D., Mathew, S., Rueping, M., & Hauser, C. A. E. (2022). Air-loaded Gas Vesicle Nanoparticles Promote Cell Growth in Three-dimensional Bioprinted Tissue Constructs. International Journal of Bioprinting, 8(3). https://doi.org/10.18063/ijb.v8i3.489
Peng, X., Wang, X., Guo, Y., Ge, Z., Li, F., Gao, X., & Song, J. (2022). RBP-TSTL is a two-stage transfer learning framework for genome-scale prediction of RNA-binding proteins. Briefings in Bioinformatics, 23(4). https://doi.org/10.1093/bib/bbac215
Fusi, M., Booth, J. M., Marasco, R., Merlino, G., Garcias-Bonet, N., Barozzi, A., Garuglieri, E., Mbobo, T., Diele, K., Duarte, C. M., & Daffonchio, D. (2022). Bioturbation Intensity Modifies the Sediment Microbiome and Biochemistry and Supports Plant Growth in an Arid Mangrove System. Microbiology Spectrum, 10(3). https://doi.org/10.1128/spectrum.01117-22
Fusi, M., Booth, J. M., Marasco, R., Merlino, G., Garcias-Bonet, N., Barozzi, A., Garuglieri, E., Mbobo, T., Diele, K., Duarte, C. M., & Daffonchio, D. (2022). Bioturbation Intensity Modifies the Sediment Microbiome and Biochemistry and Supports Plant Growth in an Arid Mangrove System. Microbiology Spectrum, 10(3). https://doi.org/10.1128/spectrum.01117-22
Alma’abadi, A., Behzad, H., Alarawi, M., Conchouso, D., Saito, Y., Hosokawa, M., Nishikawa, Y., Kogawa, M., Takeyama, H., Mineta, K., & Gojobori, T. (2022). Identification of lipolytic enzymes using high-throughput single-cell screening and sorting of a metagenomic library. New Biotechnology, 70, 102–108. https://doi.org/10.1016/j.nbt.2022.05.006
Marbà, N., Jordà, G., Bennett, S., & Duarte, C. M. (2022). Seagrass Thermal Limits and Vulnerability to Future Warming. Frontiers in Marine Science, 9. https://doi.org/10.3389/fmars.2022.860826
Guan, R., Pang, H., Liang, Y., Shao, Z., Gao, X., Xu, D., & Feng, X. (2022). Discovering trends and hotspots of biosafety and biosecurity research via machine learning. Briefings in Bioinformatics, 23(5). https://doi.org/10.1093/bib/bbac194
Martin, C., Young, C. A., Valluzzi, L., & Duarte, C. M. (2022). Ocean sediments as the global sink for marine micro‐ and mesoplastics. Limnology and Oceanography Letters, 7(3), 235–243. Portico. https://doi.org/10.1002/lol2.10257
Macreadie, P. I., Robertson, A. I., Spinks, B., Adams, M. P., Atchison, J. M., Bell-James, J., Bryan, B. A., Chu, L., Filbee-Dexter, K., Drake, L., Duarte, C. M., Friess, D. A., Gonzalez, F., Grafton, R. Q., Helmstedt, K. J., Kaebernick, M., Kelleway, J., Kendrick, G. A., Kennedy, H., … Rogers, K. (2022). Operationalizing marketable blue carbon. One Earth, 5(5), 485–492. https://doi.org/10.1016/j.oneear.2022.04.005
Stanimirovic, J., Radovanovic, J., Banjac, K., Obradovic, M., Essack, M., Zafirovic, S., Gluvic, Z., Gojobori, T., & Isenovic, E. R. (2022). Role of C-Reactive Protein in Diabetic Inflammation. Mediators of Inflammation, 2022, 1–15. https://doi.org/10.1155/2022/3706508
Aboheimed, G. I., AlRasheed, M. M., Almudimeegh, S., Peña-Guerra, K. A., Cardona-Londoño, K. J., Salih, M. A., Seidahmed, M. Z., Al-Mohanna, F., Colak, D., Harvey, R. J., Harvey, K., Arold, S. T., Kaya, N., & Ruiz, A. J. (2022). Clinical, genetic, and functional characterization of the glycine receptor β-subunit A455P variant in a family affected by hyperekplexia syndrome. Journal of Biological Chemistry, 298(7), 102018. https://doi.org/10.1016/j.jbc.2022.102018
Herrera, M., Tubío, A., Pita, P., Vázquez, E., Olabarria, C., Duarte, C. M., & Villasante, S. (2022). Trade-Offs and Synergies Between Seagrass Ecosystems and Fishing Activities: A Global Literature Review. Frontiers in Marine Science, 9. https://doi.org/10.3389/fmars.2022.781713
Duarte, C. M., Ketcheson, D. I., Eguíluz, V. M., Agustí, S., Fernández-Gracia, J., Jamil, T., Laiolo, E., Gojobori, T., & Alam, I. (2022). Rapid evolution of SARS-CoV-2 challenges human defenses. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-10097-z
Bank, M. S., Duarte, C. M., & Sonne, C. (2022). Intergovernmental Panel on Blue Foods in Support of Sustainable Development and Nutritional Security. Environmental Science & Technology, 56(9), 5302–5305. https://doi.org/10.1021/acs.est.2c00119
Naser, R., Momin, A. A., Ali, A. J., Merzaban, J., & Arold, S. T. (2022). The purified recombinant FAT domain of the Focal Adhesion Kinase does not bind directly to recombinant Talin or MBD2 in vitro. https://doi.org/10.1101/2022.04.06.487260
Behzad, H., Ohyanagi, H., Alharbi, B., Ibarra, M., Alarawi, M., Saito, Y., Duarte, C. M., Bajic, V., Mineta, K., & Gojobori, T. (2022). A cautionary signal from the Red Sea on the impact of increased dust activity on marine microbiota. BMC Genomics, 23(1). https://doi.org/10.1186/s12864-022-08485-w
Alshahrani, M., Almansour, A., Alkhaldi, A., Thafar, M. A., Uludag, M., Essack, M., & Hoehndorf, R. (2022). Combining biomedical knowledge graphs and text to improve predictions for drug-target interactions and drug-indications. PeerJ, 10, e13061. Portico. https://doi.org/10.7717/peerj.13061
Vanni, C., Schechter, M. S., Acinas, S. G., Barberán, A., Buttigieg, P. L., Casamayor, E. O., Delmont, T. O., Duarte, C. M., Eren, A. M., Finn, R. D., Kottmann, R., Mitchell, A., Sánchez, P., Siren, K., Steinegger, M., Gloeckner, F. O., & Fernàndez-Guerra, A. (2022). Unifying the known and unknown microbial coding sequence space. ELife, 11. CLOCKSS. https://doi.org/10.7554/elife.67667
Sierra, A. M. R., Arold, S. T., & Grünberg, R. (2022). Efficient multi-gene expression in cell-free droplet microreactors. PLOS ONE, 17(3), e0260420. https://doi.org/10.1371/journal.pone.0260420
Zorzi, G., Giustolisi, B., Aristodemo, V., Cecchetto, C., Hauser, C., Quer, J., Sánchez Amat, J., & Donati, C. (2022). On the Reliability of the Notion of Native Signer and Its Risks. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.716554
Alsanie, W. F., Alhomrani, M., Gaber, A., Habeeballah, H., Alkhatabi, H. A., Felimban, R. I., Abdelrahman, S., Hauser, C. A. E., Chaudhary, A. G., Alamri, A. S., Raafat, B. M., Alamri, A., Anwar, S., Alswat, K. A., Althobaiti, Y. S., & Asiri, Y. A. (2022). The Effects of Prenatal Exposure to Pregabalin on the Development of Ventral Midbrain Dopaminergic Neurons. Cells, 11(5), 852. https://doi.org/10.3390/cells11050852
Alsanie, W. F., Alhomrani, M., Gaber, A., Habeeballah, H., Alkhatabi, H. A., Felimban, R. I., Abdelrahman, S., Hauser, C. A. E., Chaudhary, A. G., Alamri, A. S., Raafat, B. M., Alamri, A., Anwar, S., Alswat, K. A., Althobaiti, Y. S., & Asiri, Y. A. (2022). The Effects of Prenatal Exposure to Pregabalin on the Development of Ventral Midbrain Dopaminergic Neurons. Cells, 11(5), 852. https://doi.org/10.3390/cells11050852
Savva, A., Hama, A., Herrera-López, G., Gasparini, N., Migliaccio, L., Kawan, M., Steiner, N., McCulloch, I., Baran, D., Fiumelli, H., Magistretti, P., Głowacki, E. D., & Inal, S. (2022). Photo-Electrochemical Stimulation of Neurons with Organic Donor-Acceptor Heterojunctions. https://doi.org/10.1101/2022.02.17.480608
Jankovic, B., & Gojobori, T. (2022). From shallow to deep: some lessons learned from application of machine learning for recognition of functional genomic elements in human genome. Human Genomics, 16(1). https://doi.org/10.1186/s40246-022-00376-1
Yu, B., Zhang, Y., Wang, X., Gao, H., Sun, J., & Gao, X. (2022). Identification of DNA modification sites based on elastic net and bidirectional gated recurrent unit with convolutional neural network. Biomedical Signal Processing and Control, 75, 103566. https://doi.org/10.1016/j.bspc.2022.103566
Klein, S. G., Alsolami, S. M., Arossa, S., Ramos-Mandujano, G., Parry, A. J., Steckbauer, A., Duarte, C. M., & Li, M. (2022). In situ monitoring reveals cellular environmental instabilities in human pluripotent stem cell culture. Communications Biology, 5(1). https://doi.org/10.1038/s42003-022-03065-w
Inal, S. (2022). Fast and sensitive electromechanical sensing. Nature Biomedical Engineering, 6(3), 223–224. https://doi.org/10.1038/s41551-021-00841-7
Slater, L. T., Russell, S., Makepeace, S., Carberry, A., Karwath, A., Williams, J. A., Fanning, H., Ball, S., Hoehndorf, R., & Gkoutos, G. V. (2022). Evaluating semantic similarity methods for comparison of text-derived phenotype profiles. BMC Medical Informatics and Decision Making, 22(1). https://doi.org/10.1186/s12911-022-01770-4
Pfeifer, L., van Erven, G., Sinclair, E. A., Duarte, C. M., Kabel, M. A., & Classen, B. (2022). Profiling the cell walls of seagrasses from A (Amphibolis) to Z (Zostera). BMC Plant Biology, 22(1). https://doi.org/10.1186/s12870-022-03447-6
Pantoja Angles, A., Valle-Pérez, A. U., Hauser, C., & Mahfouz, M. M. (2022). Microbial Biocontainment Systems for Clinical, Agricultural, and Industrial Applications. Frontiers in Bioengineering and Biotechnology, 10. https://doi.org/10.3389/fbioe.2022.830200
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Dasouki, M., Alaiya, A., ElAmin, T., Shinwari, Z., Monies, D., Abouelhoda, M., … Ahmed, S. O. (2021). Comprehensive multi-omics analysis of G6PC3 deficiency-related congenital neutropenia with inflammatory bowel disease. iScience, 24(3), 102214. https://doi.org/10.1016/j.isci.2021.102214
Gui, S., Zhang, X., Zhong, P., Qiu, S., Wu, M., Ye, J., … Liu, J. (2021). PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1–1. https://doi.org/10.1109/tpami.2021.3061162
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Weerts, M. J. A., Lanko, K., Guzmán-Vega, F. J., Jackson, A., Ramakrishnan, R., Cardona-Londoño, K. J., … Kievit, A. (2021). Delineating the molecular and phenotypic spectrum of the SETD1B-related syndrome. https://doi.org/10.1101/2021.02.11.430742
Han, P., Shang, S., Sun, A., Zhao, P., Zheng, K., & Zhang, X. (2021). Point-of-Interest Recommendation with Global and Local Context. IEEE Transactions on Knowledge and Data Engineering, 1–1. https://doi.org/10.1109/tkde.2021.3059744
Martin, C., Zhang, Q., Zhai, D., Zhang, X., & Duarte, C. M. (2021). Enabling a large-scale assessment of litter along Saudi Arabian red sea shores by combining drones and machine learning. Environmental Pollution, 277, 116730. https://doi.org/10.1016/j.envpol.2021.116730
Hala, S., Antony, C. P., Momin, A. A., Alshehri, M., Ben-Rached, F., Al-Ahmadi, G., … Pain, A. (2021). Co-occurrence of mcr-1 and mcr-8 genes in multi-drug-resistant Klebsiella pneumoniae from a 2015 clinical isolate. International Journal of Antimicrobial Agents, 57(3), 106303. https://doi.org/10.1016/j.ijantimicag.2021.106303
Hoshino, K., Maeshiro, T., Nishida, N., Sugiyama, M., Fujita, J., Gojobori, T., & Mizokami, M. (2021). Transmission dynamics of SARS-CoV-2 on the Diamond Princess uncovered using viral genome sequence analysis. Gene, 779, 145496. https://doi.org/10.1016/j.gene.2021.145496
Kaidarova, B. A., Liu, W., Swanepoel, L., Almansouri, A., Geraldi, N. R., Duarte, C. M., & Kosel, J. (2021). Flexible Hall sensor made of laser-scribed graphene. Npj Flexible Electronics, 5(1). https://doi.org/10.1038/s41528-021-00100-4
Ahmed, W. W., Farhat, M., Zhang, X., & Wu, Y. (2021). Deterministic and probabilistic deep learning models for inverse design of broadband acoustic cloak. Physical Review Research, 3(1). https://doi.org/10.1103/physrevresearch.3.013142
Lim, K. K., Rossbach, S., Geraldi, N. R., Serrão, E. A., & Duarte, C. M. (2021). Phylogeographic Analysis Suggests a Recent Population Bottleneck in the Rare Red Sea Tridacna squamosina. Frontiers in Marine Science, 8. https://doi:10.3389/fmars.2021.628142
Xiao, X., Agustí, S., Yu, Y., Huang, Y., Chen, W., Hu, J., … Duarte, C. M. (2021). Seaweed farms provide refugia from ocean acidification. Science of The Total Environment, 776, 145192. https://doi.org/10.1016/j.scitotenv.2021.145192
Mankowski, M., & Moshkov, M. (2021). Dynamic Programming Multi-Objective Combinatorial Optimization. Studies in Systems, Decision and Control. https://doi.org/10.1007/978-3-030-63920-4
Alam, I., Radovanovic, A., Incitti, R., Kamau, A. A., Alarawi, M., Azhar, E. I., & Gojobori, T. (2021). CovMT: an interactive SARS-CoV-2 mutation tracker, with a focus on critical variants. The Lancet Infectious Diseases. https://doi.org/10.1016/s1473-3099(21)00078-5
Li, Y., Xu, Z., Han, W., Cao, H., Umarov, R., Yan, A., … Gao, X. (2021). HMD-ARG: hierarchical multi-task deep learning for annotating antibiotic resistance genes. Microbiome, 9(1). doi:10.1186/s40168-021-01002-3
Ben Nasser, B., Djemai, M., Defoort, M., & Laleg-Kirati, T.-M. (2021). Time scale state feedback h-stabilisation of linear systems under Lipschitz-type disturbances. International Journal of Systems Science, 52(8), 1719–1729. https://doi.org/10.1080/00207721.2020.1869345
Li, C., Gao, X., & Sun, Q. (2021). Introduction of Progress in Education under Recent Technology Revolution. Mobile Networks and Applications. https://doi.org/10.1007/s11036-021-01732-6
Vaqué, D., Boras, J. A., Arrieta, J. M., Agustí, S., Duarte, C. M., & Sala, M. M. (2021). Enhanced Viral Activity in the Surface Microlayer of the Arctic and Antarctic Oceans. Microorganisms, 9(2), 317. https://doi.org/10.3390/microorganisms9020317
Duarte, C. M., Chapuis, L., Collin, S. P., Costa, D. P., Devassy, R. P., Eguiluz, V. M., … Juanes, F. (2021). The soundscape of the Anthropocene ocean. Science, 371(6529), eaba4658. https://doi.org/10.1126/science.aba4658
De Smit, J. C., Anton, A., Martin, C., Rossbach, S., Bouma, T. J., & Duarte, C. M. (2021). Habitat-forming species trap microplastics into coastal sediment sinks. Science of The Total Environment, 145520. https://doi:10.1016/j.scitotenv.2021.145520
Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang, (2021). Graph Embedding for Recommendation against Attribute Inference Attacks. arXiv. Doi: 2101.12549
Althagafi, A., Alsubaie, L., Kathiresan, N., Mineta, K., Aloraini, T., Almutairi, F., … Hoehndorf, R. (2021). DeepSVP: Integration of genotype and phenotype for structural variant prioritization using deep learning. https://doi.org/10.1101/2021.01.28.428557
zhu, Yongchun & Zhuang, Fuzhen & Zhang, Xiangliang & Qi, Zhiyuan & Shi, Zhiping & He, Qing. (2021). Combat Data Shift in Few-shot Learning with Knowledge Graph. Ariv. Doi: 2101.11354
Gallagher, A. J., Shipley, O. N., van Zinnicq Bergmann, M. P. M., Brownscombe, J. W., Dahlgren, C. P., Frisk, M. G., … Duarte, C. M. (2021). Spatial Connectivity and Drivers of Shark Habitat Use Within a Large Marine Protected Area in the Caribbean, The Bahamas Shark Sanctuary. Frontiers in Marine Science, 7. https://doi:10.3389/fmars.2020.608848
Albuquerque, R., Bode, A., González-Gordillo, J. I., Duarte, C. M., & Queiroga, H. (2021). Trophic Structure of Neuston Across Tropical and Subtropical Oceanic Provinces Assessed With Stable Isotopes. Frontiers in Marine Science, 7. doi:10.3389/fmars.2020.606088
Alam, I., Radovanovic, A., Incitti, R., Kamau, A., Alarawi, M., Azhar, E. I., & Gojobori, T. (2021). An interactive COVID-19 virus Mutation Tracker (CovMT) with a particular focus on critical mutations in the Receptor Binding Domain (RBD) region of the Spike protein. https://doi.org/10.1101/2021.01.22.21249716
Susapto, H. H., Alhattab, D., Abdelrahman, S., Khan, Z., Alshehri, S., Kahin, K., … Hauser, C. A. E. (2021). Ultrashort Peptide Bioinks Support Automated Printing of Large-Scale Constructs Assuring Long-Term Survival of Printed Tissue Constructs. Nano Letters, 21(7), 2719–2729. https://doi.org/10.1021/acs.nanolett.0c04426
Xiao, Lin & Zhang, Xiangliang & Jing, Liping & Huang, Chi & Song, Mingyang. (2021). Does Head Label Help for Long-Tailed Multi-Label Text Classification. arXiv. Doi: 2101.09704
Yu, Junliang & Yin, Hongzhi & Li, Jundong & Wang, Qinyong & Hung, Nguyen & Zhang, Xiangliang. (2021). Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. arXiv. Doi: 2101.06448
Chaib-Draa, K., Zemouche, A., Bedouhene, F., Rajamani, R., Wang, Y., Karimi, H. R., & Laleg-Kirati, T. M. (2021). Finite-time estimation algorithms for LPV discrete-time systems with application to output feedback stabilization. Automatica, 125, 109436. https://doi.org/10.1016/j.automatica.2020.109436
Dennison, W. C., Bracken, M. E. S., Brown, M., Bruno, J. F., Carlton, J. T., Carpenter, R. C., … Waycott, M. (2021). Susan Lynn Williams: the Life of an Exceptional Scholar, Leader, and Friend (1951–2018). Estuaries and Coasts, 44(2), 304–311. https://doi.org/10.1007/s12237-020-00886-y
Cziesielski, M. J., Duarte, C. M., Aalismail, N., Al-Hafedh, Y., Anton, A., Baalkhuyur, F., … Aranda, M. (2021). Investing in Blue Natural Capital to Secure a Future for the Red Sea Ecosystems. Frontiers in Marine Science, 7. https://doi:10.3389/fmars.2020.603722
Guo, X.-G., Hong, P.-Y., & Laleg-Kirati, T.-M. (2021). Calibration and validation for a real-time membrane bioreactor: A sliding window approach. Journal of Process Control, 98, 92–105. https://doi.org/10.1016/j.jprocont.2020.11.013
Rossbach, S., Anton, A., & Duarte, C. M. (2021). Drivers of the Abundance of Tridacna spp. Giant Clams in the Red Sea. Frontiers in Marine Science, 7. https://doi.org/10.3389/fmars.2020.592852
Kuwahara, H., & Gao, X. (2021). Stable maintenance of hidden switches as a strategy to increase the gene expression stability. Nature Computational Science, 1(1), 62–70. https://doi.org/10.1038/s43588-020-00001-y
Kuwahara, H., & Gao, X. (2021). Stable maintenance of hidden switches as a strategy to increase the gene expression stability. Nature Computational Science, 1(1), 62–70. https://doi.org/10.1038/s43588-020-00001-y
Nasser, B., Saito, Y., Alarawi, M., Humam, A. A., Mineta, K., & Gojobori, T. (2021). Characterization of microbiologically influenced corrosion by comprehensive metagenomic analysis of an inland oil field. Gene, 145425. doi:10.1016/j.gene.2021.145425
Sampaio, E., Santos, C., Rosa, I. C., Ferreira, V., Pörtner, H.-O., Duarte, C. M., … Rosa, R. (2021). Impacts of hypoxic events surpass those of future ocean warming and acidification. Nature Ecology & Evolution, 5(3), 311–321. https://doi.org/10.1038/s41559-020-01370-3
Mineta, K., Goto, K., Gojobori, T., & Alkuraya, F. S. (2021). Population structure of indigenous inhabitants of Arabia. PLOS Genetics, 17(1), e1009210. https://doi.org/10.1371/journal.pgen.1009210
Rayapuram, N., Jarad, M., Alhoraibi, H. M., Bigeard, J., Abulfaraj, A. A., Völz, R., … Hirt, H. (2021). Chromatin phosphoproteomics unravels a function for AT-hook motif nuclear localized protein AHL13 in PAMP-triggered immunity. Proceedings of the National Academy of Sciences, 118(3), e2004670118. https://doi.org/10.1073/pnas.2004670118
Salamina, M., Montefiore, B. C., Liu, M., Wood, D. J., Heath, R., Ault, J. R., … Endicott, J. A. (2021). Discriminative SKP2 Interactions with CDK-Cyclin Complexes Support a Cyclin A-Specific Role in p27KIP1 Degradation. Journal of Molecular Biology, 433(5), 166795. https://doi.org/10.1016/j.jmb.2020.166795
Garcia-Corral, L. S., Duarte, C. M., & Agusti, S. (2021). Plankton Community Metabolism in Western Australia: Estuarine, Coastal and Oceanic Surface Waters. Frontiers in Marine Science, 7. https://doi.org/10.3389/fmars.2020.582136
Alghamdi, M. A., Mulla, J., Saheb Sharif-Askari, N., Guzmán-Vega, F. J., Arold, S. T., Abd-Alwahed, M., … Halwani, R. (2021). A Novel Biallelic STING1 Gene Variant Causing SAVI in Two Siblings. Frontiers in Immunology, 11. https://doi.org/10.3389/fimmu.2020.599564
Han, R., Li, G., & Gao, X. (2021). Robust and ultrafast fiducial marker correspondence in electron tomography by a two-stage algorithm considering local constraints. Bioinformatics, 37(1), 107–117. https://doi.org/10.1093/bioinformatics/btaa1098
Zhao, X., Shahul Hameed, U. F., Kharchenko, V., Liao, C., Huser, F., Remington, J. M., … Li, J. (2021). Molecular basis for the adaptive evolution of environment-sensing by H-NS proteins. eLife, 10. https://doi.org/10.7554/elife.57467
Ye, G., Yin, H., Chen, T., Chen, H., Cui, L., & Zhang, X. (2021). FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection. IEEE Journal of Biomedical and Health Informatics, 1–1. https://doi.org/10.1109/jbhi.2021.3050113
Zhang, L., Fan, M., Napolitano, F., Gao, X., Xu, Y., & Li, L. (2021). Transcriptomic analysis identifies organ-specific metastasis genes and pathways across different primary sites. Journal of Translational Medicine, 19(1). https://doi.org/10.1186/s12967-020-02696-z
Zhang, L., Zhang, D., Wang, X., Yuan, C., Li, Y., Jia, X., … Huang, X. (2021). 1′-Ribose cyano substitution allows Remdesivir to effectively inhibit nucleotide addition and proofreading during SARS-CoV-2 viral RNA replication. Physical Chemistry Chemical Physics, 23(10), 5852–5863. https://doi.org/10.1039/d0cp05948j
Alzanbaki, H., Moretti, M., & Hauser, C. A. E. (2021). Engineered Microgels—Their Manufacturing and Biomedical Applications. Micromachines, 12(1), 45. https://doi.org/10.3390/mi12010045
Zhang, Y. (2021). Computation Offloading and Service Caching in Heterogeneous MEC Wireless Networks. KAUST Research Repository. https://doi.org/10.25781/KAUST-DQ447
Klevjer, T. A., Martinez, U., Boyra, G., Røstad, A., Kaartvedt, S., & Irigoien, X. (2021). Per station summaries of acoustic water column properties during MALASPINA-2010 [Data set]. PANGAEA - Data Publisher for Earth & Environmental Science. https://doi.org/10.1594/PANGAEA.926619
Zhang, Z. (2021). Improving the Self-Consistent Field Initial Guess Using a 3D Convolutional Neural Network. KAUST Research Repository. https://doi.org/10.25781/KAUST-542XY

2020

Piliouras, E., & Laleg-Kirati, T.-M. (2020). Quantum-based interval selection of the Semi-classical Signal Analysis method. 2020 28th European Signal Processing Conference (EUSIPCO). https://doi.org/10.23919/eusipco47968.2020.9287878
Zhou, G., Wang, J., Zhang, X., Guo, M., & Yu, G. (2020). Predicting functions of maize proteins using graph convolutional network. BMC Bioinformatics, 21(S16). https://doi.org/10.1186/s12859-020-03745-6
Alam, I., Kamau, A., Gugi, D., Gojobori, T., Duarte, C., & Bajic, V. (2020). KAUST Metagenomic Analysis Platform (KMAP), Enabling Access to Massive Analytics of Re-Annotated Metagenomic Data. Journal is Scientific Reports, https://doi.org/10.1038/s41598-021-90799-y
Garcias‐Bonet, N., Eguíluz, V. M., Díaz‐Rúa, R., & Duarte, C. M. (2020). Host‐association as major driver of microbiome structure and composition in Red Sea seagrass ecosystems. Environmental Microbiology. https://doi.org/10.1111/1462-2920.15334
Mineta, K., Goto, K., Gojobori, T., & Alkuraya, F. S. (2020). Indigenous Arabs have an intermediate frequency of a Neanderthal‐derived COVID ‐19 risk haplotype compared with other world populations. Clinical Genetics, 99(3), 484–485. https://doi.org/10.1111/cge.13885
Karan, R., Mathew, S., Muhammad, R., Bautista, D. B., Vogler, M., Eppinger, J., … Rueping, M. (2020). Understanding High-Salt and Cold Adaptation of a Polyextremophilic Enzyme. Microorganisms, 8(10), 1594. https://doi.org/10.3390/microorganisms8101594
Chen, J., Althagafi, A., & Hoehndorf, R. (2020). Predicting candidate genes from phenotypes, functions and anatomical site of expression. Bioinformatics. https://doi.org/10.1093/bioinformatics/btaa879
Yu, G., Liu, X., Wang, J., Domeniconi, C., & Zhang, X. (2020). Flexible Cross-Modal Hashing. IEEE Transactions on Neural Networks and Learning Systems, 1–11. https://doi.org/10.1109/tnnls.2020.3027729
Hawerkamp, H. C., van Geelen, L., Korte, J., Di Domizio, J., Swidergall, M., Momin, A. A., … Meller, S. (2020). Interleukin-26 activates macrophages and facilitates killing of Mycobacterium tuberculosis. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-73989-y
Kulmanov, M., Smaili, F. Z., Gao, X., & Hoehndorf, R. (2020). Semantic similarity and machine learning with ontologies. Briefings in Bioinformatics. https://doi.org/10.1093/bib/bbaa199
Arold, S. T. (2020). Intrinsic negative feedback as a limiting factor for the evolution of higher forms of intelligence. F1000Research, 9, 34. https://doi.org/10.12688/f1000research.22039.2
Duarte, C. M., Ngugi, D. K., Alam, I., Pearman, J., Kamau, A., Eguiluz, V. M., … Irigoien, X. (2020). Sequencing effort dictates gene discovery in marine microbial metagenomes. Environmental Microbiology, 22(11), 4589–4603. https://doi.org/10.1111/1462-2920.15182
Zaric, B. L., Radovanovic, J. N., Gluvic, Z., Stewart, A. J., Essack, M., Motwalli, O., … Isenovic, E. R. (2020). Atherosclerosis Linked to Aberrant Amino Acid Metabolism and Immunosuppressive Amino Acid Catabolizing Enzymes. Frontiers in Immunology, 11. https://doi.org/10.3389/fimmu.2020.551758
Fu, C., Li, Y., Zeng, L., Zhang, H., Tu, C., Zhou, Q., … Luo, Y. (2020). Stocks and losses of soil organic carbon from Chinese vegetated coastal habitats. Global Change Biology, 27(1), 202–214. https://doi.org/10.1111/gcb.15348
Tietbohl, M. D., Hardenstine, R. S., Tanabe, L. K., Hulver, A. M., & Berumen, M. L. (2020). Intentional partial beaching in a coral reef fish: a newly recorded hunting behaviour of titan triggerfish, Balistoides viridescens. Journal of Fish Biology, 97(5), 1569–1572. https://doi.org/10.1111/jfb.14513
Ou, G., Yu, G., Domeniconi, C., Lu, X., & Zhang, X. (2020). Multi-label zero-shot learning with graph convolutional networks. Neural Networks, 132, 333–341. https://doi.org/10.1016/j.neunet.2020.09.010
Luo, J. Y., Condon, R. H., Stock, C. A., Duarte, C. M., Lucas, C. H., Pitt, K. A., & Cowen, R. K. (2020). Gelatinous Zooplankton‐Mediated Carbon Flows in the Global Oceans: A Data‐Driven Modeling Study. Global Biogeochemical Cycles, 34(9). https://doi.org/10.1029/2020gb006704
Laptenok, S. P., Martin, C., Genchi, L., Duarte, C. M., & Liberale, C. (2020). Stimulated Raman microspectroscopy as a new method to classify microfibers from environmental samples. Environmental Pollution, 267, 115640. https://doi.org/10.1016/j.envpol.2020.115640
Alghamdi, M., Bashiri, F. A., Abdelhakim, M., Adly, N., Jamjoom, D. Z., Sumaily, K. M., … Arold, S. T. (2020). Phenotypic and molecular spectrum of pyridoxamine‐5′‐phosphate oxidase deficiency: A scoping review of 87 cases of pyridoxamine‐5′‐phosphate oxidase deficiency. Clinical Genetics, 99(1), 99–110. https://doi.org/10.1111/cge.13843
Herrera, M., Klein, S. G., Campana, S., Chen, J. E., Prasanna, A., Duarte, C. M., & Aranda, M. (2020). Temperature transcends partner specificity in the symbiosis establishment of a cnidarian. The ISME Journal, 15(1), 141–153. https://doi.org/10.1038/s41396-020-00768-y
Umair, M., Ballow, M., Asiri, A., Alyafee, Y., Tuwaijri, A., Alhamoudi, K. M., … Alfadhel, M. (2020). EMC10 homozygous variant identified in a family with global developmental delay, mild intellectual disability, and speech delay. Clinical Genetics, 98(6), 555–561. https://doi.org/10.1111/cge.13842
Auffray, C., Balling, R., Blomberg, N., Bonaldo, M. C., Boutron, B., Brahmachari, S., … Clément, K. (2020). COVID-19 and beyond: a call for action and audacious solidarity to all the citizens and nations, it is humanity’s fight. F1000Research, 9, 1130. https://doi.org/10.12688/f1000research.26098.1
Alam, I., Aalismail, N., Martin, C., Kamau, A., Guzmán-Vega, F. J., Jamil, T., … Duarte, C. M. (2020). Rapid Evolution of Plastic-degrading Enzymes Prevalent in the Global Ocean. https://doi.org/10.1101/2020.09.07.285692
Abdel-Haleem, A. M., Ravikumar, V., Ji, B., Mineta, K., Gao, X., Nielsen, J., … Mijakovic, I. (2020). Integrated Metabolic Modeling, Culturing, and Transcriptomics Explain Enhanced Virulence of Vibrio cholerae during Coinfection with Enterotoxigenic Escherichia coli. mSystems, 5(5). https://doi.org/10.1128/msystems.00491-20
Li, P., & Laleg-Kirati, T.-M. (2020). Schrödinger Spectrum Based PPG Features for the Estimation of the Arterial Blood Pressure. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). https://doi.org/10.1109/embc44109.2020.9176849
Magbool, A., Bahloul, M. A., Ballal, T., Al-Naffouri, T. Y., & Laleg-Kirati, T.-M. (2020). Blind Estimation of Central Blood Pressure Using Least-Squares with Mean Matching and Box Constraints. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). https://doi.org/10.1109/embc44109.2020.9176258
Chahid, A., Khushaba, R., Al-Jumaily, A., & Laleg-Kirati, T.-M. (2020). A Position Weight Matrix Feature Extraction Algorithm Improves Hand Gesture Recognition. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). https://doi.org/10.1109/embc44109.2020.9176097
Jamil, T., Alam, I., Gojobori, T., & Duarte, C. M. (2020). No Evidence for Temperature-Dependence of the COVID-19 Epidemic. Frontiers in Public Health, 8. https://doi.org/10.3389/fpubh.2020.00436
Bahloul, M. A., Chahid, A., & Laleg-Kirati, T.-M. (2020). Fractional-Order SEIQRDP Model for Simulating the Dynamics of COVID-19 Epidemic. IEEE Open Journal of Engineering in Medicine and Biology, 1, 249–256. https://doi.org/10.1109/ojemb.2020.3019758
Guan, Q., Sadykov, M., Mfarrej, S., Hala, S., Naeem, R., Nugmanova, R., … Pain, A. (2020). A genetic barcode of SARS-CoV-2 for monitoring global distribution of different clades during the COVID-19 pandemic. International Journal of Infectious Diseases, 100, 216–223. https://doi.org/10.1016/j.ijid.2020.08.052
Mankowski, M., & Moshkov, M. (2020). Extensions of dynamic programming for multi-stage combinatorial optimization. Theoretical Computer Science, 844, 106–132. https://doi.org/10.1016/j.tcs.2020.08.009
Schmidt-Roach, S., Duarte, C. M., Hauser, C. A. E., & Aranda, M. (2020). Beyond Reef Restoration: Next-Generation Techniques for Coral Gardening, Landscaping, and Outreach. Frontiers in Marine Science, 7. https://doi.org/10.3389/fmars.2020.00672
Alam, I., Kamau, A. A., Kulmanov, M., Jaremko, Ł., Arold, S. T., Pain, A., … Duarte, C. M. (2020). Functional Pangenome Analysis Shows Key Features of E Protein Are Preserved in SARS and SARS-CoV-2. Frontiers in Cellular and Infection Microbiology, 10. https://doi.org/10.3389/fcimb.2020.00405
Alfares, A., Alsubaie, L., Aloraini, T., Alaskar, A., Althagafi, A., Alahmad, A., … Alfadhel, M. (2020). What is the right sequencing approach? Solo VS extended family analysis in consanguineous populations. BMC Medical Genomics, 13(1). https://doi.org/10.1186/s12920-020-00743-8
Liu, A., Zhang, Y., Zhang, X., Liu, G., Zhang, Y., Li, Z., … Zhou, X. (2020). Representation Learning with Multi-level Attention for Activity Trajectory Similarity Computation. IEEE Transactions on Knowledge and Data Engineering, 1–1. https://doi.org/10.1109/tkde.2020.3010022
Ghattassi, M., Laleg, T.-M., & Vivalda, J.-C. (2020). Analysis and output tracking design for the direct contact membrane distillation parabolic system. Journal of Mathematical Analysis and Applications, 491(2), 124367. https://doi.org/10.1016/j.jmaa.2020.124367
X. Guo, P. Hong, and T. M. Laleg-Kirati, (2020) Nonlinear Model Predictive Control Design for BSM-MBR: Benchmark of Membrane Bioreactor, IFAC World Congress, Berlin,
Ghaffour, Lilia & Noack, Matti & Reger, Johann & Laleg-Kirati, Taous-Meriem. (2020). Non-asymptotic State Estimation of Linear Reaction Diffusion Equation using Modulating Functions.
Yamamoto, N., Ariumi, Y., Nishida, N., Yamamoto, R., Bauer, G., Gojobori, T., … Mizokami, M. (2020). SARS-CoV-2 infections and COVID-19 mortalities strongly correlate with ACE1 I/D genotype. Gene, 758, 144944. https://doi.org/10.1016/j.gene.2020.144944
Ni, M., Tresset, G., Iliescu, C., & Hauser, C. A. E. (2020). Ultrashort Peptide Theranostic Nanoparticles by Microfluidic-Assisted Rapid Solvent Exchange. IEEE Transactions on NanoBioscience, 19(4), 627–632. https://doi.org/10.1109/tnb.2020.3007103
Albalawi, F., Alshehri, S., Chahid, A., & Laleg-Kirati, T.-M. (2020). Voxel Weight Matrix-Based Feature Extraction for Biomedical Applications. IEEE Access, 8, 121451–121459. https://doi.org/10.1109/access.2020.3006521
Yu, G., Wang, Y., Wang, J., Domeniconi, C., Guo, M., & Zhang, X. (2020). Attributed heterogeneous network fusion via collaborative matrix tri-factorization. Information Fusion, 63, 153–165. https://doi.org/10.1016/j.inffus.2020.06.012
Yu, G., Chen, X., Domeniconi, C., Wang, J., Li, Z., Zhang, Z., & Zhang, X. (2020). CMAL: Cost-effective Multi-label Active Learning by Querying Subexamples. IEEE Transactions on Knowledge and Data Engineering, 1–1. https://doi.org/10.1109/tkde.2020.3003899
Queralt-Rosinach, N., Bello, S. M., Hoehndorf, R., Weiland, C., Rocca-Serra, P., & Schofield, P. N. (2020). Modeling quantitative traits for COVID-19 case reports. https://doi.org/10.1101/2020.06.18.20135103
Vu, T.-D., Iwasaki, Y., Shigenobu, S., Maruko, A., Oshima, K., Iioka, E., … Okada, N. (2020). Behavioral and brain- transcriptomic synchronization between the two opponents of a fighting pair of the fish Betta splendens. PLOS Genetics, 16(6), e1008831. https://doi.org/10.1371/journal.pgen.1008831
Abdelhakim, M., McMurray, E., Syed, A. R., Kafkas, S., Kamau, A. A., Schofield, P. N., & Hoehndorf, R. (2020). DDIEM: drug database for inborn errors of metabolism. Orphanet Journal of Rare Diseases, 15(1). https://doi.org/10.1186/s13023-020-01428-2
Zhou, L., Li, Z., Zhou, J., Li, H., Chen, Y., Huang, Y., … Gao, X. (2020). A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis. IEEE Transactions on Medical Imaging, 39(8), 2638–2652. https://doi.org/10.1109/tmi.2020.3001810
S. Asiri, D. Liu and T. Laleg-Kirati, (2020) Selection of Modulating Functions' Design Parameters for Estimation Problems, IEEE Control Systems Letters, vol. 5, no. 1, pp. 277-282, doi: 10.1109/LCSYS.2020.3000849.
Moraga, P., Ketcheson, D. I., Ombao, H. C., & Duarte, C. M. (2020). Assessing the age- and gender-dependence of the severity and case fatality rates of COVID-19 disease in Spain. Wellcome Open Research, 5, 117. https://doi.org/10.12688/wellcomeopenres.15996.1
Friis, G., Vizueta, J., Nelson, D. R., Khraiwesh, B., Qudeimat, E., Salehi-Ashtiani, K., … Burt, J. A. (2020). A high-quality genome assembly and annotation of the gray mangrove, Avicennia marina. https://doi.org/10.1101/2020.05.30.124800
Zhang, Y., Liu, G., Liu, A., Zhang, Y., Li, Z., Zhang, X., & Li, Q. (2020). Personalized Geographical Influence Modeling for POI Recommendation. IEEE Intelligent Systems, 35(5), 18–27. https://doi.org/10.1109/mis.2020.2998040
Zhang, D., N’Doye, I., Ballal, T., Al-Naffouri, T. Y., Alouini, M.-S., & Laleg-Kirati, T.-M. (2020). Localization and Tracking Control Using Hybrid Acoustic–Optical Communication for Autonomous Underwater Vehicles. IEEE Internet of Things Journal, 7(10), 10048–10060. https://doi.org/10.1109/jiot.2020.2995799
Slater, L. T., Gkoutos, G. V., & Hoehndorf, R. (2020). Towards semantic interoperability: finding and repairing hidden contradictions in biomedical ontologies. https://doi.org/10.1101/2020.05.16.099309
Ketcheson, D. I., Ombao, H. C., Moraga, P., Ballal, T., & Duarte, C. M. (2020). Estimating and forecasting COVID-19 attack rates and mortality. https://doi.org/10.1101/2020.05.11.20097972
Albaradei, S., Magana-Mora, A., Thafar, M., Uludag, M., Bajic, V. B., Gojobori, T., … Jankovic, B. R. (2020). Splice2Deep: An ensemble of deep convolutional neural networks for improved splice site prediction in genomic DNA. Gene: X, 5, 100035. https://doi.org/10.1016/j.gene.2020.100035
Chen, H., Ballal, T., Muqaibel, A. H., Zhang, X., & Al-Naffouri, T. Y. (2020). Air-writing via Receiver Array Based Ultrasonic Source Localization. IEEE Transactions on Instrumentation and Measurement, 1–1. https://doi.org/10.1109/tim.2020.2991573
Mankowski, M., & Moshkov, M. (2020). Dynamic programming bi-criteria combinatorial optimization. Discrete Applied Mathematics, 284, 513–533. https://doi.org/10.1016/j.dam.2020.04.016
Liu-Wei, W., Kafkas, Ş., Chen, J., Dimonaco, N., Tegnér, J., & Hoehndorf, R. (2020). DeepViral: infectious disease phenotypes improve prediction of novel virus–host interactions. https://doi.org/10.1101/2020.04.22.055095
Bahloul, M. A., & Laleg-Kirati, T.-M. (2020). Assessment of Fractional-Order Arterial Windkessel as a Model of Aortic Input Impedance. IEEE Open Journal of Engineering in Medicine and Biology, 1, 123–132. https://doi.org/10.1109/ojemb.2020.2988179
Han, Y., & Zhang, X. (2020). Robust Federated Learning via Collaborative Machine Teaching. Proceedings of the AAAI Conference on Artificial Intelligence, 34(04), 4075–4082. https://doi.org/10.1609/aaai.v34i04.5826
Essack, M., Salhi, A., Van Neste, C., Raies, A. B., Tifratene, F., Uludag, M., … Bajic, V. P. (2020). DES-ROD: Exploring Literature to Develop New Links between RNA Oxidation and Human Diseases. Oxidative Medicine and Cellular Longevity, 2020, 1–13. https://doi.org/10.1155/2020/5904315
Wang, K., Wang, J., Domeniconi, C., Zhang, X., & Yu, G. (2019). Differentiating isoform functions with collaborative matrix factorization. Bioinformatics. https://doi.org/10.1093/bioinformatics/btz847
Moshkov, M. (2020). Comparative Analysis of Deterministic and Nondeterministic Decision Trees. Intelligent Systems Reference Library. https://doi.org/10.1007/978-3-030-41728-4
Gentry, S., Mankowski, M. A., & Michael, T. S. (2020). Maximum matchings in graphs for allocating kidney paired donation. Operations Research for Health Care, 25, 100246. https://doi.org/10.1016/j.orhc.2020.100246
Nishikawa, Y., Kogawa, M., Hosokawa, M., Mineta, K., Takahashi, K., Sakanashi, C., … Takeyama, H. (2020). Massively parallel single-cell genome sequencing enables high-resolution analysis of soil and marine microbiome. https://doi.org/10.1101/2020.03.05.962001
Chen, Y., Pu, J., Liu, X., & Zhang, X. (2019). Gaussian mixture embedding of multiple node roles in networks. World Wide Web. doi:10.1007/s11280-019-00743-4
Vos, R. A., Katayama, T., Mishima, H., Kawano, S., Kawashima, S., Kim, J.-D., … Yamamoto, Y. (2020). BioHackathon 2015: Semantics of data for life sciences and reproducible research. F1000Research, 9, 136. https://doi.org/10.12688/f1000research.18236.1
alam, I., Kamau, A., Kulmanov, M., Arold, S. T., Pain, A., Gojobori, T., & Duarte, C. M. (2020). Functional pangenome analysis suggests inhibition of the protein E as a readily available therapy for COVID-2019. https://doi.org/10.1101/2020.02.17.952895
Elkhalil, K., Kammoun, A., Zhang, X., Alouini, M.-S., & Al-Naffouri, T. Y. (2020). Risk Convergence of Centered Kernel Ridge Regression with Large Dimensional Data. ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). doi:10.1109/icassp40776.2020.9053349
Baalkhuyur, F. M., Qurban, M. A., Panickan, P., & Duarte, C. M. (2020). Microplastics in fishes of commercial and ecological importance from the Western Arabian Gulf. Marine Pollution Bulletin, 152, 110920. https://doi.org/10.1016/j.marpolbul.2020.110920
Chahid, A., Albalawi, F., Alotaiby, T. N., Al-Hameed, M. H., Alshebeili, S., & Laleg-Kirati, T.-M. (2020). QuPWM: Feature Extraction Method for Epileptic Spike Classification. IEEE Journal of Biomedical and Health Informatics, 24(10), 2814–2824. https://doi.org/10.1109/jbhi.2020.2972286
AlMuhaizea, M., AlMass, R., AlHargan, A., AlBader, A., Medico Salsench, E., Howaidi, J., … Kaya, N. (2020). Truncating mutations in YIF1B cause a progressive encephalopathy with various degrees of mixed movement disorder, microcephaly, and epilepsy. Acta Neuropathologica, 139(4), 791–794. https://doi.org/10.1007/s00401-020-02128-8
Guo, X., Albalawi, F., & Laleg-Kirati, T.-M. (2020). Observer-based Economic Model Predictive Control for Direct Contact Membrane Distillation. Chemical Engineering Research and Design, 156, 86–99. https://doi.org/10.1016/j.cherd.2020.01.027
Baldry, K., Saderne, V., McCorkle, D. C., Churchill, J. H., Agusti, S., & Duarte, C. M. (2020). Anomalies in the carbonate system of Red Sea coastal habitats. Biogeosciences, 17(2), 423–439. https://doi.org/10.5194/bg-17-423-2020
Bajic, V. P., Essack, M., Zivkovic, L., Stewart, A., Zafirovic, S., Bajic, V. B., … Spremo-Potparevic, B. (2020). The X Files: “The Mystery of X Chromosome Instability in Alzheimer’s Disease.” Frontiers in Genetics, 10. https://doi.org/10.3389/fgene.2019.01368
Ren, X., Yin, H., Chen, T., Wang, H., Hung, N. Q. V., Huang, Z., & Zhang, X. (2020). CRSAL. ACM Transactions on Information Systems, 38(4), 1–40. https://doi.org/10.1145/3394592
Meng, Z., Liang, S., Zhang, X., McCreadie, R., & Ounis, I. (2020). Jointly Learning Representations of Nodes and Attributes for Attributed Networks. ACM Transactions on Information Systems, 38(2), 1–32. https://doi.org/10.1145/3377850
Gluvic, Z. M., Obradovic, M. M., Sudar-Milovanovic, E. M., Zafirovic, S. S., Radak, D. J., Essack, M. M., … Isenovic, E. R. (2020). Regulation of nitric oxide production in hypothyroidism. Biomedicine & Pharmacotherapy, 124, 109881. https://doi.org/10.1016/j.biopha.2020.109881
Agulles, M., Jordà, G., Jones, B., Agustí, S., & Duarte, C. M. (2020). Temporal evolution of temperatures in the Red Sea and the Gulf of Aden based on in situ observations (1958–2017). Ocean Science, 16(1), 149–166. https://doi.org/10.5194/os-16-149-2020
Geraldi, N. R., Klein, S. G., Anton, A., & Duarte, C. M. (2020). A framework for experimental scenarios of global change in marine systems using coral reefs as a case study. Royal Society Open Science, 7(1), 191118. https://doi.org/10.1098/rsos.191118
Bhaduri, S., Chahid, A., Achten, E., Laleg-Kirati, T.-M., & Serrai, H. (2020). SCSA based MATLAB pre-processing toolbox for 1H MR spectroscopic water suppression and denoising. Informatics in Medicine Unlocked, 18, 100294. https://doi.org/10.1016/j.imu.2020.100294
Ding, L., Liao, S., Liu, Y., Liu, L., Zhu, F., Yao, Y., … Gao, X. (2020). Approximate Kernel Selection via Matrix Approximation. IEEE Transactions on Neural Networks and Learning Systems, 31(11), 4881–4891. https://doi.org/10.1109/tnnls.2019.2958922
Duarte, C. M., Rodriguez-Navarro, A. B., Delgado-Huertas, A., & Krause-Jensen, D. (2020). Dense Mytilus Beds Along Freshwater-Influenced Greenland Shores: Resistance to Corrosive Waters Under High Food Supply. Estuaries and Coasts, 43(2), 387–395. https://doi.org/10.1007/s12237-019-00682-3
El-Araby, M. E., Omar, A. M., Soror, S. H., Arold, S. T., Khayat, M. T., Asfour, H. Z., … Elfaky, M. A. (2020). Synthetic bulky NS4A peptide variants bind to and inhibit HCV NS3 protease. Journal of Advanced Research, 24, 251–259. https://doi.org/10.1016/j.jare.2020.01.003
Agustí, S., Krause, J. W., Marquez, I. A., Wassmann, P., Kristiansen, S., & Duarte, C. M. (2020). Arctic (Svalbard islands) active and exported diatom stocks and cell health status. Biogeosciences, 17(1), 35–45. https://doi.org/10.5194/bg-17-35-2020

2019

Momin, A. A., Hameed, U. F. S., & Arold, S. T. (2019). Passenger sequences can promote interlaced dimers in a common variant of the maltose-binding protein. Scientific Reports, 9(1). https://doi.org/10.1038/s41598-019-56718-y
Jorda, G., Marbà, N., Bennett, S., Santana-Garcon, J., Agusti, S., & Duarte, C. M. (2019). Ocean warming compresses the three-dimensional habitat of marine life. Nature Ecology & Evolution, 4(1), 109–114. https://doi.org/10.1038/s41559-019-1058-0
Geraldi, N. R., Anton, A., Santana‐Garcon, J., Bennett, S., Marbà, N., Lovelock, C. E., … Duarte, C. M. (2019). Ecological effects of non‐native species in marine ecosystems relate to co‐occurring anthropogenic pressures. Global Change Biology, 26(3), 1248–1258. https://doi.org/10.1111/gcb.14930
Eguíluz, V. M., Salazar, G., Fernández-Gracia, J., Pearman, J. K., Gasol, J. M., Acinas, S. G., … Duarte, C. M. (2019). Scaling of species distribution explains the vast potential marine prokaryote diversity. Scientific Reports, 9(1). https://doi.org/10.1038/s41598-019-54936-y
Siuly, S., & Zhang, X. (2019). Guest Editorial: Special issue on “Application of artificial intelligence in health research.” Health Information Science and Systems, 8(1). https://doi.org/10.1007/s13755-019-0089-x
Jia, G., Li, Y., Zhang, H., Chattopadhyay, I., Boeck Jensen, A., Blair, D. R., … Rzhetsky, A. (2019). Estimating heritability and genetic correlations from large health datasets in the absence of genetic data. Nature Communications, 10(1). https://doi.org/10.1038/s41467-019-13455-0
Naveed, H., Reglin, C., Schubert, T., Gao, X., Arold, S. T., & Maitland, M. L. (2019). Identifying Novel Targets by using Drug-binding Site Signature: A Case Study of Kinase Inhibitors. https://doi.org/10.1101/860510
Boumenir, A., Ghattassi, M., & Laleg‐Kirati, T. M. (2019). Monitoring the temperature of a direct contact membrane distillation. Mathematical Methods in the Applied Sciences, 43(3), 1399–1408. https://doi.org/10.1002/mma.5966
Alghamdi, M., Al Khalifah, R., Al Homyani, D. K., Alkhamis, W. H., Arold, S. T., Ekhzaimy, A., … Halwani, R. (2019). A Novel TBX1 Variant Causing Hypoparathyroidism and Deafness. Journal of the Endocrine Society, 4(2). https://doi.org/10.1210/jendso/bvz028
Sola, J., Klein, S. G., Martin, C., Agustí, S., & Duarte, C. M. (2019). Gelatinous Zooplankton in the Surface Layers of the Coastal Central Red Sea. Frontiers in Marine Science, 6. https://doi.org/10.3389/fmars.2019.00726
Chen, Y., Pu, J., Liu, X., & Zhang, X. (2019). Gaussian mixture embedding of multiple node roles in networks. World Wide Web, 23(2), 927–950. https://doi.org/10.1007/s11280-019-00743-4
Rossbach, S., Cardenas, A., Perna, G., Duarte, C. M., & Voolstra, C. R. (2019). Tissue-Specific Microbiomes of the Red Sea Giant Clam Tridacna maxima Highlight Differential Abundance of Endozoicomonadaceae. Frontiers in Microbiology, 10. https://doi.org/10.3389/fmicb.2019.02661
Garrabou, J., Gómez-Gras, D., Ledoux, J.-B., Linares, C., Bensoussan, N., López-Sendino, P., … Grimes, S. (2019). Collaborative Database to Track Mass Mortality Events in the Mediterranean Sea. Frontiers in Marine Science, 6. https://doi.org/10.3389/fmars.2019.00707
Althubaiti, S., Karwath, A., Dallol, A., Noor, A., Alkhayyat, S. S., Alwassia, R., … Hoehndorf, R. (2019). Ontology-based prediction of cancer driver genes. Scientific Reports, 9(1). https://doi.org/10.1038/s41598-019-53454-1
Rabaoui, L., Cusack, M., Saderne, V., Krishnakumar, P. K., Lin, Y.-J., Shemsi, A. M., … Qurban, M. A. (2020). Anthropogenic-induced acceleration of elemental burial rates in blue carbon repositories of the Arabian Gulf. Science of The Total Environment, 719, 135177. https://doi.org/10.1016/j.scitotenv.2019.135177
Qashqari, M. S., Garcias-Bonet, N., Fusi, M., Booth, J. M., Daffonchio, D., & Duarte, C. M. (2020). High temperature and crab density reduce atmospheric nitrogen fixation in Red Sea mangrove sediments. Estuarine, Coastal and Shelf Science, 232, 106487. https://doi.org/10.1016/j.ecss.2019.106487
Tan, Q., Yu, G., Wang, J., Domeniconi, C., & Zhang, X. (2021). Individuality- and Commonality-Based Multiview Multilabel Learning. IEEE Transactions on Cybernetics, 51(3), 1716–1727. https://doi.org/10.1109/tcyb.2019.2950560
Klein, S. G., Steckbauer, A., & Duarte, C. M. (2019). Defining CO2and O2syndromes of marine biomes in the Anthropocene. Global Change Biology, 26(2), 355–363. https://doi.org/10.1111/gcb.14879
Koutsaviti, A., Daskalaki, M. G., Agusti, S., Kampranis, S. C., Tsatsanis, C., Duarte, C. M., … Ioannou, E. (2019). Thuwalallenes A–E and Thuwalenynes A–C: New C15 Acetogenins with Anti-Inflammatory Activity from a Saudi Arabian Red Sea Laurencia sp. Marine Drugs, 17(11), 644. https://doi.org/10.3390/md17110644
Bendevis, P., Karam, A., & Laleg-Kirati, T.-M. (2020). Optimal model-free control of solar thermal membrane distillation system. Computers & Chemical Engineering, 133, 106622. https://doi.org/10.1016/j.compchemeng.2019.106622
Wang, K., Wang, J., Domeniconi, C., Zhang, X., & Yu, G. (2019). Differentiating isoform functions with collaborative matrix factorization. Bioinformatics. https://doi.org/10.1093/bioinformatics/btz847
Mourier, T., de Alvarenga, D. A. M., Kaushik, A., de Pina-Costa, A., Douvropoulou, O., Guan, Q., … Pain, A. (2019). The genome of the zoonotic malaria parasite Plasmodium simium reveals adaptations to host-switching. https://doi.org/10.1101/841171
Kulmanov, M., & Hoehndorf, R. (2019). DeepPheno: Predicting single gene loss-of-function phenotypes using an ontology-aware hierarchical classifier. https://doi.org/10.1101/839332
Fischer, J., Renn, D., Quitterer, F., Radhakrishnan, A., Liu, M., Makki, A., … Eppinger, J. (2019). Robust and Versatile Host Protein for the Design and Evaluation of Artificial Metal Centers. ACS Catalysis, 9(12), 11371–11380. https://doi.org/10.1021/acscatal.9b02896
Saderne, V., Baldry, K., Anton, A., Agustí, S., & Duarte, C. M. (2019). Characterization of the CO 2 System in a Coral Reef, a Seagrass Meadow, and a Mangrove Forest in the Central Red Sea. Journal of Geophysical Research: Oceans, 124(11), 7513–7528. https://doi.org/10.1029/2019jc015266
Aldoghaither, A., & Laleg-Kirati, T.-M. (2020). Parameter and differentiation order estimation for a two dimensional fractional partial differential equation. Journal of Computational and Applied Mathematics, 369, 112570. https://doi.org/10.1016/j.cam.2019.112570
Liu, H., Wen, J., Jing, L., Yu, J., Zhang, X., & Zhang, M. (2019). In2Rec. Proceedings of the 28th ACM International Conference on Information and Knowledge Management. https://doi.org/10.1145/3357384.3358017
Geraldi, N. R., Díaz‐Rúa, R., Shea, L. A., & Duarte, C. M. (2019). Performance of extraction methods for extracellular DNA from sediments across marine habitats. Environmental DNA, 2(1), 91–98. https://doi.org/10.1002/edn3.48
Sequeira, A. M. M., Hays, G. C., Sims, D. W., Eguíluz, V. M., Rodríguez, J. P., Heupel, M. R., … Duarte, C. M. (2019). Overhauling Ocean Spatial Planning to Improve Marine Megafauna Conservation. Frontiers in Marine Science, 6. https://doi.org/10.3389/fmars.2019.00639
Lam, J. H., Li, Y., Zhu, L., Umarov, R., Jiang, H., Héliou, A., … Gao, X. (2019). A deep learning framework to predict binding preference of RNA constituents on protein surface. Nature Communications, 10(1). https://doi.org/10.1038/s41467-019-12920-0
Chen, Y., Sun, K., Pu, J., Xiong, Z., & Zhang, X. (2020). GraPASA: Parametric graph embedding via siamese architecture. Information Sciences, 512, 1442–1457. https://doi.org/10.1016/j.ins.2019.10.027
Chen, Y., Sun, K., Pu, J., Xiong, Z., & Zhang, X. (2019). GraPASA: Parametric Graph Embedding via Siamese Architecture. Information Sciences. https://doi.org/10.1016/j.ins.2019.10.027
Fernández de Puelles, Gazá, Cabanellas-Reboredo, Santandreu, Irigoien, González-Gordillo, & Duarte. (2019). Zooplankton Abundance and Diversity in the Tropical and Subtropical Ocean. Diversity, 11(11), 203. https://doi.org/10.3390/d11110203
Giner, C. R., Pernice, M. C., Balagué, V., Duarte, C. M., Gasol, J. M., Logares, R., & Massana, R. (2019). Marked changes in diversity and relative activity of picoeukaryotes with depth in the world ocean. The ISME Journal, 14(2), 437–449. https://doi.org/10.1038/s41396-019-0506-9
Xiao, X., Agusti, S., Lin, F., Xu, C., Yu, Y., Pan, Y., … Duarte, C. M. (2019). Resource (Light and Nitrogen) and Density-Dependence of Seaweed Growth. Frontiers in Marine Science, 6. https://doi.org/10.3389/fmars.2019.00618
Han, R., Li, L., Yang, P., Zhang, F., & Gao, X. (2019). A novel constrained reconstruction model towards high-resolution subtomogram averaging. Bioinformatics. https://doi.org/10.1093/bioinformatics/btz787
Xiao, X., Agustí, S., Pan, Y., Yu, Y., Li, K., Wu, J., & Duarte, C. M. (2019). Warming Amplifies the Frequency of Harmful Algal Blooms with Eutrophication in Chinese Coastal Waters. Environmental Science & Technology, 53(22), 13031–13041. https://doi.org/10.1021/acs.est.9b03726
Han, R., Wang, S., & Gao, X. (2019). Novel algorithms for efficient subsequence searching and mapping in nanopore raw signals towards targeted sequencing. Bioinformatics. https://doi.org/10.1093/bioinformatics/btz742
Obradovic, M., Zafirovic, S., Essack, M., Dimitrov, J., Zivkovic, L., Spremo-Potparevic, B., … Isenovic, E. R. (2020). Antioxidant enzymes expression in lymphocytes of patients undergoing carotid endarterectomy. Medical Hypotheses, 134, 109419. https://doi.org/10.1016/j.mehy.2019.109419
Lee, M. A., Duarte, C. M., Eguíluz, V. M., Heller, D. A., Langer, R., Meekan, M. G., … Wilson, R. P. (2019). Can Fish and Cell Phones Teach Us about Our Health? ACS Sensors, 4(10), 2566–2570. https://doi.org/10.1021/acssensors.9b00947
Serrano, O., Lovelock, C. E., B. Atwood, T., Macreadie, P. I., Canto, R., Phinn, S., … Duarte, C. M. (2019). Australian vegetated coastal ecosystems as global hotspots for climate change mitigation. Nature Communications, 10(1). https://doi.org/10.1038/s41467-019-12176-8
Yang, Z., Yu, G., Guo, M., Yu, J., Zhang, X., & Wang, J. (2019). CDPath: Cooperative driver pathways discovery using integer linear programming and Markov clustering. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 1–1. https://doi.org/10.1109/tcbb.2019.2945029
Aalismail, N. A., Ngugi, D. K., Díaz-Rúa, R., Alam, I., Cusack, M., & Duarte, C. M. (2019). Functional metagenomic analysis of dust-associated microbiomes above the Red Sea. Scientific Reports, 9(1). https://doi.org/10.1038/s41598-019-50194-0
Zhao, Y., Wang, J., Guo, M., Zhang, X., & Yu, G. (2019). Cross-Species Protein Function Prediction with Asynchronous-Random Walk. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 1–1. https://doi.org/10.1109/tcbb.2019.2943342
Martin, C., Corona, E., Mahadik, G. A., & Duarte, C. M. (2019). Adhesion to coral surface as a potential sink for marine microplastics. Environmental Pollution, 255, 113281. https://doi.org/10.1016/j.envpol.2019.113281
Karimi, M. A., Zhang, Q., Kuo, Y. H., Shaikh, S. F., Kaidarova, A., Geraldi, N., … Shamim, A. (2019). Flexible tag design for semi-continuous wireless data acquisition from marine animals. Flexible and Printed Electronics, 4(3), 035006. https://doi.org/10.1088/2058-8585/ab423f
Nagai, S., Chen, H., Kawakami, Y., Yamamoto, K., Sildever, S., Kanno, N., … Gojobori, T. (2019). Monitoring of the toxic dinoflagellate Alexandrium catenella in Osaka Bay, Japan using a massively parallel sequencing (MPS)-based technique. Harmful Algae, 89, 101660. https://doi.org/10.1016/j.hal.2019.101660
Macreadie, P. I., Anton, A., Raven, J. A., Beaumont, N., Connolly, R. M., Friess, D. A., … Duarte, C. M. (2019). The future of Blue Carbon science. Nature Communications, 10(1). https://doi.org/10.1038/s41467-019-11693-w
Obradovic, M., Essack, M., Zafirovic, S., Sudar‐Milovanovic, E., Bajic, V. P., Van Neste, C., … Isenovic, E. R. (2020). Redox control of vascular biology. BioFactors, 46(2), 246–262. https://doi.org/10.1002/biof.1559
Giomi, F., Barausse, A., Duarte, C. M., Booth, J., Agusti, S., Saderne, V., … Fusi, M. (2019). Oxygen supersaturation protects coastal marine fauna from ocean warming. Science Advances, 5(9), eaax1814. https://doi.org/10.1126/sciadv.aax1814
Hawerkamp, H. C., Kislat, A., Gerber, P. A., Pollet, M., Rolfes, K. M., Soshilov, A. A., … Meller, S. (2019). Vemurafenib acts as an aryl hydrocarbon receptor antagonist: Implications for inflammatory cutaneous adverse events. Allergy, 74(12), 2437–2448. https://doi.org/10.1111/all.13972
Othoum, G., Bougouffa, S., Bokhari, A., Lafi, F. F., Gojobori, T., Hirt, H., … Essack, M. (2019). Mining biosynthetic gene clusters in Virgibacillus genomes. BMC Genomics, 20(1). https://doi.org/10.1186/s12864-019-6065-7
Sanada, T., Tsukiyama-Kohara, K., Shin-I, T., Yamamoto, N., Kayesh, M. E. H., Yamane, D., … Kohara, M. (2019). Construction of complete Tupaia belangeri transcriptome database by whole-genome and comprehensive RNA sequencing. Scientific Reports, 9(1). https://doi.org/10.1038/s41598-019-48867-x
Kaidarova, A., Almoudi, A., Allagani, R. M., Marengo, M., Khan, M. A., Buttner, U., … Kosel, J. (2019). Flexible and Multi-Functional Graphene Sensor Platform. 2019 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS). https://doi.org/10.1109/fleps.2019.8792302
Kaidarova, A., Almoudi, A., Allagani, R. M., Marengo, M., Khan, M. A., Buttner, U., … Kosel, J. (2019). Flexible and Multi-Functional Graphene Sensor Platform. 2019 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS). https://doi.org/10.1109/fleps.2019.8792302
Kaidaorva, A., Marengo, M., Marinaro, G., Geraldi, N. R., Wilson, R., Duarte, C. M., & Kosel, J. (2019). Flexible, four-electrode conductivity cell for biologging applications. Results in Materials, 1, 100009. https://doi.org/10.1016/j.rinma.2019.100009
Ortega, A., Geraldi, N. R., Alam, I., Kamau, A. A., Acinas, S. G., Logares, R., … Duarte, C. M. (2019). Important contribution of macroalgae to oceanic carbon sequestration. Nature Geoscience, 12(9), 748–754. https://doi.org/10.1038/s41561-019-0421-8
Sanz-Martín, M., Vernet, M., Cape, M. R., Mesa, E., Delgado-Huertas, A., Reigstad, M., … Duarte, C. M. (2019). Relationship Between Carbon- and Oxygen-Based Primary Productivity in the Arctic Ocean, Svalbard Archipelago. Frontiers in Marine Science, 6. https://doi.org/10.3389/fmars.2019.00468
López-Sandoval, D. C., Rowe, K., Carillo-de-Albonoz, P., Duarte, C. M., & Agustí, S. (2019). Rates and drivers of Red Sea plankton community metabolism. Biogeosciences, 16(15), 2983–2995. https://doi.org/10.5194/bg-16-2983-2019
Kaidarova, A., Khan, M. A., Marengo, M., Swanepoel, L., Przybysz, A., Muller, C., … Kosel, J. (2019). Wearable multifunctional printed graphene sensors. Npj Flexible Electronics, 3(1). https://doi.org/10.1038/s41528-019-0061-5
López-Sandoval, D. C., Rowe, K., Carillo-de-Albonoz, P., Duarte, C. M., & Agustí, S. (2019). Rates and drivers of Red Sea plankton community metabolism. Biogeosciences, 16(15), 2983–2995. https://doi.org/10.5194/bg-16-2983-2019
Yao, S., Yu, G., Wang, J., Domeniconi, C., & Zhang, X. (2019). Multi-View Multiple Clustering. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. https://doi.org/10.24963/ijcai.2019/572
Pei, S., Yu, L., & Zhang, X. (2019). Improving Cross-lingual Entity Alignment via Optimal Transport. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. https://doi.org/10.24963/ijcai.2019/448
Chen, X., Yu, G., Wang, J., Domeniconi, C., Li, Z., & Zhang, X. (2019). ActiveHNE: Active Heterogeneous Network Embedding. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. https://doi.org/10.24963/ijcai.2019/294
De los Santos, C. B., Krause-Jensen, D., Alcoverro, T., Marbà, N., Duarte, C. M., van Katwijk, M. M., … Santos, R. (2019). Recent trend reversal for declining European seagrass meadows. Nature Communications, 10(1). https://doi.org/10.1038/s41467-019-11340-4
Yan, R., Le, R., Song, Y., Zhang, T., Zhang, X., & Zhao, D. (2019). Interview Choice Reveals Your Preference on the Market. Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. https://doi.org/10.1145/3292500.3330963
Klein, S. G., Pitt, K. A., Lucas, C. H., Hung, S.-H., Schmidt-Roach, S., Aranda, M., & Duarte, C. M. (2019). Night-Time Temperature Reprieves Enhance the Thermal Tolerance of a Symbiotic Cnidarian. Frontiers in Marine Science, 6. https://doi.org/10.3389/fmars.2019.00453
Queiroz, N., Humphries, N. E., Couto, A., Vedor, M., da Costa, I., Sequeira, A. M. M., … Abercrombie, D. L. (2019). Global spatial risk assessment of sharks under the footprint of fisheries. Nature, 572(7770), 461–466. https://doi.org/10.1038/s41586-019-1444-4
Jin, P., Overmans, S., Duarte, C. M., & Agustí, S. (2019). Increasing temperature within thermal limits compensates negative ultraviolet‐B radiation effects in terrestrial and aquatic organisms. Global Ecology and Biogeography, 28(11), 1695–1711. https://doi.org/10.1111/geb.12973
Peng, C., Duarte, C. M., Costa, D. P., Guinet, C., Harcourt, R. G., Hindell, M. A., … Zhang, X. (2019). Deep Learning Resolves Representative Movement Patterns in a Marine Predator Species. Applied Sciences, 9(14), 2935. https://doi.org/10.3390/app9142935
Mazarrasa, I., Marbà, N., Krause-Jensen, D., Kennedy, H., Santos, R., Lovelock, C. E., & Duarte, C. M. (2019). Decreasing carbonate load of seagrass leaves with increasing latitude. Aquatic Botany, 159, 103147. https://doi.org/10.1016/j.aquabot.2019.103147
Zhao, J., Shang, S., Wang, P., Lui, J. C., & Zhang, X. (2019). Submodular Optimization over Streams with Inhomogeneous Decays. Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 5861-5868. https://doi.org/10.1609/aaai.v33i01.33015861
Yu, L., Zhang, C., Liang, S., & Zhang, X. (2019). Multi-Order Attentive Ranking Model for Sequential Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence, 33, 5709–5716. https://doi.org/10.1609/aaai.v33i01.33015709
Mahadik, G. A., Agusti, S., & Duarte, C. M. (2019). Distribution and Characteristics of Halobates germanus Population in the Red Sea. Frontiers in Marine Science, 6. https://doi.org/10.3389/fmars.2019.00408
Sequeira, A. M. M., Heupel, M. R., Lea, M. ‐A., Eguíluz, V. M., Duarte, C. M., Meekan, M. G., … Hays, G. C. (2019). The importance of sample size in marine megafauna tagging studies. Ecological Applications, 29(6). https://doi.org/10.1002/eap.1947
Rossbach, S., Saderne, V., Anton, A., & Duarte, C. M. (2019). Light-dependent calcification in Red Sea giant clam <i>Tridacna maxima</i> Biogeosciences, 16(13), 2635–2650. https://doi.org/10.5194/bg-16-2635-2019
Han, R., Bao, Z., Zeng, X., Niu, T., Zhang, F., Xu, M., & Gao, X. (2019). A joint method for marker-free alignment of tilt series in electron tomography. Bioinformatics, 35(14), i249–i259. https://doi.org/10.1093/bioinformatics/btz323
Duffy, J. E., Benedetti-Cecchi, L., Trinanes, J., Muller-Karger, F. E., Ambo-Rappe, R., Boström, C., … Yaakub, S. M. (2019). Toward a Coordinated Global Observing System for Seagrasses and Marine Macroalgae. Frontiers in Marine Science, 6. https://doi.org/10.3389/fmars.2019.00317
Krause-Jensen, D., Sejr, M. K., Bruhn, A., Rasmussen, M. B., Christensen, P. B., Hansen, J. L. S., … Wegeberg, S. (2019). Deep Penetration of Kelps Offshore Along the West Coast of Greenland. Frontiers in Marine Science, 6. https://doi.org/10.3389/fmars.2019.00375
Wilson, R. P., Börger, L., Holton, M. D., Scantlebury, D. M., Gómez‐Laich, A., Quintana, F., … Shepard, E. L. C. (2019). Estimates for energy expenditure in free‐living animals using acceleration proxies: A reappraisal. Journal of Animal Ecology, 89(1), 161–172. https://doi.org/10.1111/1365-2656.13040
Sanz-Martín, M., Hendriks, I. E., Carstensen, J., Marbà, N., Krause-Jensen, D., Sejr, M. K., & Duarte, C. M. (2019). Continuous photoperiod of the Artic summer stimulates the photosynthetic response of some marine macrophytes. Aquatic Botany, 158, 103126. https://doi.org/10.1016/j.aquabot.2019.06.005
Harcourt, R., Sequeira, A. M. M., Zhang, X., Roquet, F., Komatsu, K., Heupel, M., … Carroll, G. (2019). Animal-Borne Telemetry: An Integral Component of the Ocean Observing Toolkit. Frontiers in Marine Science, 6. https://doi.org/10.3389/fmars.2019.00326
Ramajo, L., Lagos, N. A., & Duarte, C. M. (2019). Seagrass Posidonia oceanica diel pH fluctuations reduce the mortality of epiphytic forams under experimental ocean acidification. Marine Pollution Bulletin, 146, 247–254. https://doi.org/10.1016/j.marpolbul.2019.06.011
Ni, M., Zhuo, S., Iliescu, C., So, P. T. C., Mehta, J. S., Yu, H., & Hauser, C. A. E. (2019). Self‐assembling amyloid‐like peptides as exogenous second harmonic probes for bioimaging applications. Journal of Biophotonics, 12(12). https://doi.org/10.1002/jbio.201900065
Iuculano, F., Álverez-Salgado, X. A., Otero, J., Catalá, T. S., Sobrino, C., Duarte, C. M., & Agustí, S. (2019). Patterns and Drivers of UV Absorbing Chromophoric Dissolved Organic Matter in the Euphotic Layer of the Open Ocean. Frontiers in Marine Science, 6. https://doi.org/10.3389/fmars.2019.00320
Martin, C., Agustí, S., & Duarte, C. M. (2019). Seasonality of marine plastic abundance in central Red Sea pelagic waters. Science of The Total Environment, 688, 536–541. https://doi.org/10.1016/j.scitotenv.2019.06.240
Bennett, S., Duarte, C. M., Marbà, N., & Wernberg, T. (2019). Integrating within-species variation in thermal physiology into climate change ecology. Philosophical Transactions of the Royal Society B: Biological Sciences, 374(1778), 20180550. https://doi.org/10.1098/rstb.2018.0550
Zhao, J., Shang, S., Wang, P., Lui, J. C. S., & Zhang, X. (2019). Tracking Influential Nodes in Time-Decaying Dynamic Interaction Networks. 2019 IEEE 35th International Conference on Data Engineering (ICDE). https://doi.org/10.1109/icde.2019.00102
Siuly, S., & Zhang, X. (2019). Guest Editorial: Special issue on “Application of artificial intelligence in health research.” Health Information Science and Systems, 8(1). https://doi.org/10.1007/s13755-019-0089-x
Yahya, R. Z., Arrieta, J. M., Cusack, M., & Duarte, C. M. (2019). Airborne Prokaryote and Virus Abundance Over the Red Sea. Frontiers in Microbiology, 10. https://doi.org/10.3389/fmicb.2019.01112
Krause, J. W., Schulz, I. K., Rowe, K. A., Dobbins, W., Winding, M. H. S., Sejr, M. K., … Agustí, S. (2019). Silicic acid limitation drives bloom termination and potential carbon sequestration in an Arctic bloom. Scientific Reports, 9(1). https://doi.org/10.1038/s41598-019-44587-4
Garcias-Bonet, N., Delgado-Huertas, A., Carrillo-de-Albornoz, P., Anton, A., Almahasheer, H., Marbà, N., … Duarte, C. M. (2019). Carbon and Nitrogen Concentrations, Stocks, and Isotopic Compositions in Red Sea Seagrass and Mangrove Sediments. Frontiers in Marine Science, 6. https://doi.org/10.3389/fmars.2019.00267
Arossa, S., Martin, C., Rossbach, S., & Duarte, C. M. (2019). Microplastic removal by Red Sea giant clam (Tridacna maxima). Environmental Pollution, 252, 1257–1266. https://doi.org/10.1016/j.envpol.2019.05.149
Mankowski, M. A., Kosztowski, M., Raghavan, S., Garonzik‐Wang, J. M., Axelrod, D., Segev, D. L., & Gentry, S. E. (2019). Accelerating kidney allocation: Simultaneously expiring offers. American Journal of Transplantation, 19(11), 3071–3078. https://doi.org/10.1111/ajt.15396
Wang, W., Zhao, M., Gao, Z., Xu, G., Xian, H., Li, Y., & Zhang, X. (2019). Constructing Features for Detecting Android Malicious Applications: Issues, Taxonomy and Directions. IEEE Access, 7, 67602–67631. https://doi.org/10.1109/access.2019.2918139
Geraldi, N. R., Ortega, A., Serrano, O., Macreadie, P. I., Lovelock, C. E., Krause-Jensen, D., … Duarte, C. M. (2019). Fingerprinting Blue Carbon: Rationale and Tools to Determine the Source of Organic Carbon in Marine Depositional Environments. Frontiers in Marine Science, 6. https://doi.org/10.3389/fmars.2019.00263
Yang, Q., Li, Z., Liu, A., Liu, G., Zhao, L., Zhang, X., … Zhou, X. (2019). A novel hybrid publication recommendation system using compound information. World Wide Web, 22(6), 2499–2517. https://doi.org/10.1007/s11280-019-00687-9
Pu, J., Wang, Y., Liu, X., & Zhang, X. (2019). STLP-OD: Spatial and Temporal Label Propagation for Traffic Outlier Detection. IEEE Access, 7, 63036–63044. https://doi.org/10.1109/access.2019.2916853
Acinas, S. G., Sánchez, P., Salazar, G., Cornejo-Castillo, F. M., Sebastián, M., Logares, R., … Gasol, J. M. (2019). Metabolic Architecture of the Deep Ocean Microbiome. https://doi.org/10.1101/635680
Acinas, S. G., Sánchez, P., Salazar, G., Cornejo-Castillo, F. M., Sebastián, M., Logares, R., … Gasol, J. M. (2019). Metabolic Architecture of the Deep Ocean Microbiome. https://doi.org/10.1101/635680
Pei, S., Yu, L., Hoehndorf, R., & Zhang, X. (2019). Semi-Supervised Entity Alignment via Knowledge Graph Embedding with Awareness of Degree Difference. The World Wide Web Conference on - WWW ’19. https://doi.org/10.1145/3308558.3313646
Berumen, M. L., Voolstra, C. R., Daffonchio, D., Agusti, S., Aranda, M., Irigoien, X., … Duarte, C. M. (2019). The Red Sea: Environmental Gradients Shape a Natural Laboratory in a Nascent Ocean. Coral Reefs of the World, 1–10. https://doi.org/10.1007/978-3-030-05802-9_1
Ruiz‐González, C., Logares, R., Sebastián, M., Mestre, M., Rodríguez‐Martínez, R., Galí, M., … Gasol, J. M. (2019). Higher contribution of globally rare bacterial taxa reflects environmental transitions across the surface ocean. Molecular Ecology, 28(8), 1930–1945. https://doi.org/10.1111/mec.15026
Ruiz‐González, C., Logares, R., Sebastián, M., Mestre, M., Rodríguez‐Martínez, R., Galí, M., … Gasol, J. M. (2019). Higher contribution of globally rare bacterial taxa reflects environmental transitions across the surface ocean. Molecular Ecology, 28(8), 1930–1945. https://doi.org/10.1111/mec.15026
Guan, Y., Ngugi, D. K., Vinu, M., Blom, J., Alam, I., Guillot, S., … Stingl, U. (2019). Comparative Genomics of the Genus Methanohalophilus, Including a Newly Isolated Strain From Kebrit Deep in the Red Sea. Frontiers in Microbiology, 10. https://doi.org/10.3389/fmicb.2019.00839
Zhai, D., Liu, A., Chen, S., Li, Z., & Zhang, X. (2019). SeqST-ResNet: A Sequential Spatial Temporal ResNet for Task Prediction in Spatial Crowdsourcing. Lecture Notes in Computer Science, 260–275. https://doi.org/10.1007/978-3-030-18576-3_16
Wang, Y., Yu, G., Domeniconi, C., Wang, J., Zhang, X., & Guo, M. (2019). Selective Matrix Factorization for Multi-relational Data Fusion. Lecture Notes in Computer Science, 313–329. https://doi.org/10.1007/978-3-030-18576-3_19
Geraldi, N. R., Anton, A., Lovelock, C. E., & Duarte, C. M. (2019). Are the ecological effects of the “worst” marine invasive species linked with scientific and media attention? PLOS ONE, 14(4), e0215691. https://doi.org/10.1371/journal.pone.0215691
Anton, A., Geraldi, N. R., Lovelock, C. E., Apostolaki, E. T., Bennett, S., Cebrian, J., … Duarte, C. M. (2019). Global ecological impacts of marine exotic species. Nature Ecology & Evolution, 3(5), 787–800. https://doi.org/10.1038/s41559-019-0851-0
Jamil, M., Kountche, B. A., Haider, I., Wang, J. Y., Aldossary, F., Zarban, R. A., … Al-Babili, S. (2019). Methylation at the C-3′ in D-Ring of Strigolactone Analogs Reduces Biological Activity in Root Parasitic Plants and Rice. Frontiers in Plant Science, 10. https://doi.org/10.3389/fpls.2019.00353
Regaudie-de-Gioux, A., Huete-Ortega, M., Sobrino, C., López-Sandoval, D. C., González, N., Fernández-Carrera, A., … Duarte, C. M. (2019). Multi-model remote sensing assessment of primary production in the subtropical gyres. Journal of Marine Systems, 196, 97–106. https://doi.org/10.1016/j.jmarsys.2019.03.007
Vaqué, D., Lara, E., Arrieta, J. M., Holding, J., Sà, E. L., Hendriks, I. E., … Duarte, C. M. (2019). Warming and CO2 Enhance Arctic Heterotrophic Microbial Activity. Frontiers in Microbiology, 10. https://doi.org/10.3389/fmicb.2019.00494
Carstensen, J., & Duarte, C. M. (2019). Drivers of pH Variability in Coastal Ecosystems. Environmental Science & Technology, 53(8), 4020–4029. https://doi.org/10.1021/acs.est.8b03655
Sun, G., & Zhang, X. (2019). A Novel Framework for Node/Edge Attributed Graph Embedding. Lecture Notes in Computer Science, 169–182. https://doi.org/10.1007/978-3-030-16142-2_14
Hays, G. C., Bailey, H., Bograd, S. J., Bowen, W. D., Campagna, C., Carmichael, R. H., … Sequeira, A. M. M. (2019). Translating Marine Animal Tracking Data into Conservation Policy and Management. Trends in Ecology & Evolution, 34(5), 459–473. https://doi.org/10.1016/j.tree.2019.01.009