Alsaif, H. S., Alshehri, A., Sulaiman, R. A., Al‐Hindi, H., Guzmán‐Vega, F. J., Arold, S. T., & Alkuraya, F. S. (2021). MYH1 is a candidate gene for recurrent rhabdomyolysis in humans. American Journal of Medical Genetics Part A. https://doi.org/10.1002/ajmg.a.62188
Albaradei, S., Thafar, M., Alsaedi, A., Van Neste, C., Gojobori, T., Essack, M., & Gao, X. (2021). Machine Learning and Deep Learning Methods that use Omics Data for Metastasis Prediction. Computational and Structural Biotechnology Journal. https://doi.org/10.1016/j.csbj.2021.09.001
Kobiyama, A., Rashid, J., Reza, M. S., Ikeda, Y., Yamada, Y., Kudo, T., … Watabe, S. (2021). Seasonal and annual changes in the microbial communities of Ofunato Bay, Japan, based on metagenomics. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-96641-9
Kafkas, Ş., Althubaiti, S., Gkoutos, G. V., Hoehndorf, R., & Schofield, P. N. (2021). Linking common human diseases to their phenotypes; development of a resource for human phenomics. Journal of Biomedical Semantics, 12(1). htttps://doi:10.1186/s13326-021-00249-x
Alalwan, A., Albalawi, F., & Laleg-Kirati, T. M. (2021). Tracking Model Predictive Control Paradigm for Underwater Optical Communication. IEEE Open Journal of the Communications Society, 1–1. https://doi.org/10.1109/ojcoms.2021.3104929
Klein, S. G., Alsolami, S. M., Steckbauer, A., Arossa, S., Parry, A. J., Ramos Mandujano, G., … Duarte, C. M. (2021). A prevalent neglect of environmental control in mammalian cell culture calls for best practices. Nature Biomedical Engineering, 5(8), 787–792. https://doi.org/10.1038/s41551-021-00775-0
Zhao, X., Remington, J. M., Schneebeli, S. T., Arold, S. T., & Li, J. (2021). Molecular Basis for Environment Sensing by a Nucleoid-Structuring Bacterial Protein Filament. The Journal of Physical Chemistry Letters, 12(32), 7878–7884. https://doi.org/10.1021/acs.jpclett.1c01710
Queralt-Rosinach, N., Schofield, P., Hoehndorf, R., Weiland, C., Schultes, E. A., Bernabé, C. H., & Roos, M. (2021). The COVID-19 epidemiology and monitoring ontology. https://doi.org/10.37044/osf.io/n6tcz
Abouelhoda, M., Mohty, D., Alayary, I., Meyer, B. F., Arold, S. T., Fadel, B. M., & Monies, D. (2021). Established and candidate transthyretin amyloidosis variants identified in the Saudi population by data mining. Human Genomics, 15(1). https://doi.org/10.1186/s40246-021-00351-2
Salsench, E. M., Maroofian, R., Deng, R., Lanko, K., Nikoncuk, A., Pérez, B., … Barakat, T. S. (2021). Expanding the mutational landscape and clinical phenotype of the YIF1B related brain disorder. Brain. https://doi.org/10.1093/brain/awab297
Albaradei, S., Napolitano, F., Thafar, M. A., Gojobori, T., Essack, M., & Gao, X. (2021). MetaCancer: A deep learning-based pan-cancer metastasis prediction model developed using multi-omics data. Computational and Structural Biotechnology Journal, 19, 4404–4411. https://doi.org/10.1016/j.csbj.2021.08.006
Moshkov, M. (2021). Decision trees based on 1-consequences. Discrete Applied Mathematics, 302, 208–214. https://doi.org/10.1016/j.dam.2021.07.017
Alshukairi, A. N., El-Kafrawy, S. A., Dada, A., Yasir, M., Yamani, A. H., Saeedi, M. F., … Azhar, E. I. (2021). Re-infection with a different SARS-CoV-2 clade and prolonged viral shedding in a hematopoietic stem cell transplantation patient. International Journal of Infectious Diseases, 110, 267–271. https://doi.org/10.1016/j.ijid.2021.07.036
Deutschmann, I. M., Delage, E., Giner, C. R., Sebastián, M., Poulain, J., Arístegui, J., … Logares, R. (2021). Disentangling marine microbial networks across space. https://doi.org/10.1101/2021.07.12.451729
AlSaieedi, A., Salhi, A., Tifratene, F., Raies, A. B., Hungler, A., Uludag, M., … Essack, M. (2021). DES-Tcell is a knowledgebase for exploring immunology-related literature. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-93809-1
Queiroz, N., Humphries, N. E., Couto, A., Vedor, M., da Costa, I., Sequeira, A. M. M., … Abercrombie, D. L. (2021). Reply to: Caution over the use of ecological big data for conservation. Nature, 595(7866), E20–E28. https://doi.org/10.1038/s41586-021-03464-9
Queiroz, N., Humphries, N. E., Couto, A., Vedor, M., da Costa, I., Sequeira, A. M. M., … Abercrombie, D. L. (2021). Reply to: Shark mortality cannot be assessed by fishery overlap alone. Nature, 595(7866), E8–E16. https://doi.org/10.1038/s41586-021-03397-3
L Ghaffour, TML Kirati, (2021). Reference Tracking AND Observer Design for Space-Fractional Partial Differential Equation Modeling Gas Pressures in Fractured Media. arXiv.2107.02042
Liao, X., Li, M., Hu, K., Wu, F.-X., Gao, X., & Wang, J. (2021). A sensitive repeat identification framework based on short and long reads. Nucleic Acids Research. https://doi.org/10.1093/nar/gkab563
Azad, M., Chikalov, I., Hussain, S., & Moshkov, M. (2021). Optimization of Decision Trees with Hypotheses for Knowledge Representation. Electronics, 10(13), 1580. https://doi.org/10.3390/electronics10131580
Yu, G., Huang, Q., Zhang, X., Guo, M., & Wang, J. (2021). Tissue Specificity based Isoform Function Prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 1–1. https://doi.org/10.1109/tcbb.2021.3093167
Bajaffer, A., Mineta, K., & Gojobori, T. (2021). Evolution of memory system‐related genes. FEBS Open Bio. https://doi.org/10.1002/2211-5463.13224
Azad, M., Chikalov, I., Hussain, S., & Moshkov, M. (2021). Entropy-Based Greedy Algorithm for Decision Trees Using Hypotheses. Entropy, 23(7), 808. https://doi.org/10.3390/e23070808
Li, H., Zhou, J., Zhou, Y., Chen, Q., She, Y., Gao, F., … Gao, X. (2021). An Interpretable Computer-Aided Diagnosis Method for Periodontitis From Panoramic Radiographs. Frontiers in Physiology, 12. https://doi.org/10.3389/fphys.2021.655556
Zhou, J., zhang, bin, Li, H., Zhou, L., Li, Z., Long, Y., … Gao, X. (2021). DeeReCT-TSS: A novel meta-learning-based method annotates TSS in multiple cell types based on DNA sequences and RNA-seq data. https://doi.org/10.21203/rs.3.rs-640669/v1
Ramirez-Calderon, G., Susapto, H. H., & Hauser, C. A. E. (2021). Delivery of Endothelial Cell-Laden Microgel Elicits Angiogenesis in Self-Assembling Ultrashort Peptide Hydrogels In Vitro. ACS Applied Materials & Interfaces, 13(25), 29281–29292. https://doi.org/10.1021/acsami.1c03787
Gajdzik, L., DeCarlo, T. M., Aylagas, E., Coker, D. J., Green, A. L., Majoris, J. E., … Berumen, M. L. (2021). A portfolio of climate‐tailored approaches to advance the design of marine protected areas in the Red Sea. Global Change Biology, 27(17), 3956–3968. https://doi.org/10.1111/gcb.15719
Duarte, C. M., Jamil, T., Gojobori, T., & Alam, I. (2021). Detection of SARS-CoV-2 variants requires urgent global coordination. International Journal of Infectious Diseases, 109, 50–53. https://doi.org/10.1016/j.ijid.2021.06.027
Makita, Y., Suzuki, S., Fushimi, K., Shimada, S., Suehisa, A., Hirata, M., … Matsui, M. (2021). Identification of a dual orange/far-red and blue light photoreceptor from an oceanic green picoplankton. Nature Communications, 12(1). https://doi.org/10.1038/s41467-021-23741-5
Slater, L. T., Williams, J. A., Karwath, A., Russell, S., Pendleton, S. C., Fanning, H., … Gkoutos, G. V. (2021). Klarigi: Explanations for Semantic Groupings. https://doi.org/10.1101/2021.06.14.448423
López‐Sandoval, D. C., Duarte, C. M., & Agustí, S. (2021). Nutrient and temperature constraints on primary production and net phytoplankton growth in a tropical ecosystem. Limnology and Oceanography, 66(7), 2923–2935. https://doi.org/10.1002/lno.11849
Mazarrasa, I., Lavery, P., Duarte, C. M., Lafratta, A., Lovelock, C. E., Macreadie, P. I., … Serrano, O. (2021). Factors Determining Seagrass Blue Carbon Across Bioregions and Geomorphologies. Global Biogeochemical Cycles, 35(6). https://doi.org/10.1029/2021gb006935
Conchouso, D., Al-Ma’abadi, A., Behzad, H., Alarawi, M., Hosokawa, M., Nishikawa, Y., … Gojobori, T. (2021). Integration of Droplet Microfluidic Tools for Single-cell Functional Metagenomics: An Engineering Head Start. https://doi.org/10.36227/techrxiv.14760726.v1
Pei, S., Yu, L., & Zhang, X. (2021). Set-aware Entity Synonym Discovery with Flexible Receptive Fields. IEEE Transactions on Knowledge and Data Engineering, 1–1. https://doi.org/10.1109/tkde.2021.3087532
Yoshitake, K., Kimura, G., Sakami, T., Watanabe, T., Taniuchi, Y., Kakehi, S., … Gojobori, T. (2021). Development of a time-series shotgun metagenomics database for monitoring microbial communities at the Pacific coast of Japan. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-91615-3
Primack, R. B., Bates, A. E., & Duarte, C. M. (2021). The conservation and ecological impacts of the COVID-19 pandemic. Biological Conservation, 260, 109204. https://doi.org/10.1016/j.biocon.2021.109204
Slater, L. T., Williams, J. A., Karwath, A., Fanning, H., Ball, S., Schofield, P., … Gkoutos, G. V. (2021). Multi-faceted Semantic Clustering With Text-derived Phenotypes. https://doi.org/10.1101/2021.05.26.21257830
Guo, K., Wustoni, S., Koklu, A., Díaz-Galicia, E., Moser, M., Hama, A., … Inal, S. (2021). Rapid single-molecule detection of COVID-19 and MERS antigens via nanobody-functionalized organic electrochemical transistors. Nature Biomedical Engineering. https://doi.org/10.1038/s41551-021-00734-9
Noro, Y., Shimizu, H., Mineta, K., & Gojobori, T. (2021). A single neuron subset governs a single coactive neuron circuit in Hydra vulgaris, representing a possible ancestral feature of neural evolution. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-89325-x
Bank, M. S., Swarzenski, P. W., Duarte, C. M., Rillig, M. C., Koelmans, A. A., Metian, M., … Ok, Y. S. (2021). Global Plastic Pollution Observation System to Aid Policy. Environmental Science & Technology, 55(12), 7770–7775. https://doi.org/10.1021/acs.est.1c00818
Noro, Y., Shimizu, H., Mineta, K., & Gojobori, T. (2021). A single neuron subset governs a single coactive neuron circuit in Hydra vulgaris, representing a possible ancestral feature of neural evolution. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-89325-x
Magbool, A., Bahloul, M. A., Ballal, T., Al-Naffouri, T. Y., & Laleg-Kirati, T.-M. (2021). Aortic blood pressure estimation: A hybrid machine-learning and cross-relation approach. Biomedical Signal Processing and Control, 68, 102762. https://doi.org/10.1016/j.bspc.2021.102762
Acinas, S. G., Sánchez, P., Salazar, G., Cornejo-Castillo, F. M., Sebastián, M., Logares, R., … Gasol, J. M. (2021). Deep ocean metagenomes provide insight into the metabolic architecture of bathypelagic microbial communities. Communications Biology, 4(1). https://doi.org/10.1038/s42003-021-02112-2
Kulmanov, M., Zhapa-Camacho, F., & Hoehndorf, R. (2021). DeepGOWeb: fast and accurate protein function prediction on the (Semantic) Web. Nucleic Acids Research, 49(W1), W140–W146. https://doi.org/10.1093/nar/gkab373
Bates, A. E., Primack, R. B., & Duarte, C. M. (2021). Global COVID-19 lockdown highlights humans as both threats and custodians of the environment. Biological Conservation, 109175. https://doi.org/10.1016/j.biocon.2021.109175
Chen, S., Li, Y., Zhang, T., Zhu, X., Sun, S., & Gao, X. (2021). Lunar features detection for energy discovery via deep learning. Applied Energy, 296, 117085. https://doi.org/10.1016/j.apenergy.2021.117085
Obradovic, M., Sudar-Milovanovic, E., Soskic, S., Essack, M., Arya, S., Stewart, A. J., … Isenovic, E. R. (2021). Leptin and Obesity: Role and Clinical Implication. Frontiers in Endocrinology, 12. https://doi.org/10.3389/fendo.2021.585887
Zhang, X., Yang, Q., Albaradei, S., Lyu, X., Alamro, H., Salhi, A., … Gao, X. (2021). Rise and fall of the global conversation and shifting sentiments during the COVID-19 pandemic. Humanities and Social Sciences Communications, 8(1). https://doi.org/10.1057/s41599-021-00798-7
Zhang, J., Vancea, A. I., Shahul Hameed, U. F., & Arold, S. T. (2021). Versatile control of the CDC48 segregase by the plant UBX-containing (PUX) proteins. Computational and Structural Biotechnology Journal, 19, 3125–3132. https://doi.org/10.1016/j.csbj.2021.05.025
Konovalov, K. A., Wang, W., Wang, G., Goonetilleke, E. C., Gao, X., Wang, D., & Huang, X. (2021). A comprehensive mechanism for 5-carboxylcytosine-induced transcriptional pausing revealed by Markov state models. Journal of Biological Chemistry, 296, 100735. https://doi.org/10.1016/j.jbc.2021.100735
Bahloul, M. A., & Laleg Kirati, T.-M. (2021). Fractional-order model representations of apparent vascular compliance as an alternative in the analysis of arterial stiffness: an in-silico study. Physiological Measurement, 42(4), 045008. https://doi.org/10.1088/1361-6579/abf1b1
Huang, N., Nie, F., Ni, P., Luo, F., Gao, X., & Wang, J. (2021). NeuralPolish: a novel Nanopore polishing method based on alignment matrix construction and orthogonal Bi-GRU Networks. Bioinformatics. https://doi.org/10.1093/bioinformatics/btab354
Roth, F., El-Khaled, Y. C., Karcher, D. B., Rädecker, N., Carvalho, S., Duarte, C. M., … Wild, C. (2021). Nutrient pollution enhances productivity and framework dissolution in algae- but not in coral-dominated reef communities. Marine Pollution Bulletin, 168, 112444. https://doi.org/10.1016/j.marpolbul.2021.112444
Aalismail, N. A., Díaz-Rúa, R., Geraldi, N., Cusack, M., & Duarte, C. M. (2021). Diversity and Sources of Airborne Eukaryotic Communities (AEC) in the Global Dust Belt over the Red Sea. Earth Systems and Environment, 5(2), 459–471. https://doi.org/10.1007/s41748-021-00219-4
Zhang, D., Yao, L., Chen, K., Yang, Z., Gao, X., & Liu, Y. (2021). Preventing Sensitive Information Leakage from Mobile Sensor Signals via IntegrativeTransformation. IEEE Transactions on Mobile Computing, 1–1. https://doi.org/10.1109/tmc.2021.3078086
Zhang, S., Yuan, B., Lam, J. H., Zhou, J., Zhou, X., Ramos-Mandujano, G., … Yang, M. (2021). Structure of the full-length human Pannexin1 channel and insights into its role in pyroptosis. Cell Discovery, 7(1). https://doi.org/10.1038/s41421-021-00259-0
Khan, F., Radovanovic, A., Gojobori, T., & Kaur, M. (2021). IBDDB: a manually curated and text-mining-enhanced database of genes involved in inflammatory bowel disease. Database, 2021. https://doi.org/10.1093/database/baab022
Hinnerichs, T., & Hoehndorf, R. (2021). DTI-Voodoo: machine learning over interaction networks and ontology-based background knowledge predicts drug–target interactions. https://doi.org/10.1101/2021.04.28.441733
Alshehri, S., Susapto, H. H., & Hauser, C. A. E. (2021). Scaffolds from Self-Assembling Tetrapeptides Support 3D Spreading, Osteogenic Differentiation, and Angiogenesis of Mesenchymal Stem Cells. Biomacromolecules, 22(5), 2094–2106. https://doi.org/10.1021/acs.biomac.1c00205
Wu, D., Ye, M., Lin, G., Gao, X., & Shen, J. (2021). Person Re-Identification by Context-aware Part Attention and Multi-Head Collaborative Learning. IEEE Transactions on Information Forensics and Security, 1–1. https://doi.org/10.1109/tifs.2021.3075894
Subedi, R. C., Rossbach, S., Kang, C. H., Alkhazragi, O., Sun, X., Holguin-Lerma, J. A., … Ooi, B. S. (2021). Giant clam inspired high-speed photo-conversion for ultraviolet optical wireless communication. Optical Materials Express, 11(5), 1515. https://doi.org/10.1364/ome.423432
Napolitano, F., Rapakoulia, T., Annunziata, P., Hasegawa, A., Cardon, M., Napolitano, S., … Arner, E. (2021). Automatic identification of small molecules that promote cell conversion and reprogramming. Stem Cell Reports, 16(5), 1381–1390. https://doi.org/10.1016/j.stemcr.2021.03.028
Unarta, I. C., Cao, S., Kubo, S., Wang, W., Cheung, P. P.-H., Gao, X., … Huang, X. (2021). Role of bacterial RNA polymerase gate opening dynamics in DNA loading and antibiotics inhibition elucidated by quasi-Markov State Model. Proceedings of the National Academy of Sciences, 118(17), e2024324118. https://doi.org/10.1073/pnas.2024324118
Martin, C., Zhang, Q., Zhai, D., Zhang, X., & Duarte, C. M. (2021). Anthropogenic litter density and composition data acquired flying commercial drones on sandy beaches along the Saudi Arabian Red Sea. Data in Brief, 36, 107056. https://doi.org/10.1016/j.dib.2021.107056
Aldehaiman, A., Momin, A. A., Restouin, A., Wang, L., Shi, X., Aljedani, S., … Arold, S. T. (2021). Synergy and allostery in ligand binding by HIV-1 Nef. Biochemical Journal, 478(8), 1525–1545. https://doi.org/10.1042/bcj20201002
Duarte, C. M., Agusti, S., Barbier, E., Britten, G. L., Castilla, J. C., Gattuso, J.-P., … Worm, B. (2021). Author Correction: Rebuilding marine life. Nature. https://doi.org/10.1038/s41586-021-03271-2
N’doye, I., Zhang, D., Alouini, M.-S., & Laleg-Kirati, T.-M. (2021). Establishing and Maintaining a Reliable Optical Wireless Communication in Underwater Environment. IEEE Access, 9, 62519–62531. https://doi.org/10.1109/access.2021.3073461
Alghamdi, M., Alhumsi, T. R., Altweijri, I., Alkhamis, W. H., Barasain, O., Cardona-Londoño, K. J., … Bakhrebah, M. A. (2021). Clinical and Genetic Characterization of Craniosynostosis in Saudi Arabia. Frontiers in Pediatrics, 9. https://doi.org/10.3389/fped.2021.582816
Bank, M. S., Swarzenski, P. W., Bianchi, G., Metian, M., Ok, Y. S., & Duarte, C. M. (2021). Reimagining aquaculture in the Global South. Science, 372(6539), 247.2–248. https://doi.org/10.1126/science.abi5015
Hickey, S. M., Radford, B., Callow, J. N., Phinn, S. R., Duarte, C. M., & Lovelock, C. E. (2021). ENSO feedback drives variations in dieback at a marginal mangrove site. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-87341-5
Goto, K., Mineta, K., Miyazaki, S., & Gojobori, T. (2021). Significant variants of type 2 diabetes in the Arabian Region through an Integration of exome databases. PLOS ONE, 16(4), e0249226. doi:10.1371/journal.pone.0249226
Slater, L. T., Bradlow, W., Ball, S., Hoehndorf, R., & Gkoutos, G. V. (2021). Improved characterisation of clinical text through ontology-based vocabulary expansion. Journal of Biomedical Semantics, 12(1). https://doi.org/10.1186/s13326-021-00241-5
Wesselmann, M., Geraldi, N. R., Duarte, C. M., Garcia‐Orellana, J., Díaz‐Rúa, R., Arias‐Ortiz, A., … Marbà, N. (2021). Seagrass (Halophila stipulacea) invasion enhances carbon sequestration in the Mediterranean Sea. Global Change Biology. https://doi.org/10.1111/gcb.15589
Abouelhoda, M., Mohty, D., Alayary, I., Meyer, B. F., Arold, S. T., Fadel, B. M., & Monies, D. (2021). Data Mining for the Identification of Known and Candidate Transthyretin Amyloidosis Variants in the Saudi Population. https://doi.org/10.21203/rs.3.rs-386081/v1
Costa, R. M., Cárdenas, A., Loussert-Fonta, C., Toullec, G., Meibom, A., & Voolstra, C. R. (2021). Surface Topography, Bacterial Carrying Capacity, and the Prospect of Microbiome Manipulation in the Sea Anemone Coral Model Aiptasia. Frontiers in Microbiology, 12. https://doi.org/10.3389/fmicb.2021.637834
Li, P., & Laleg‐Kirati, T. M. (2021). Signal denoising based on the Schrödinger operator’s eigenspectrum and a curvature constraint. IET Signal Processing, 15(3), 195–206. https://doi.org/10.1049/sil2.12023
N’Doye, I., Cai, W., Alalwan, A., Sun, X., Headary, W. G., Alouini, M.-S., … Laleg-Kirati, T.-M. (2021). Reduction of the beam pointing error for improved free-space optical communication link performance. IFAC Journal of Systems and Control, 16, 100154. https://doi.org/10.1016/j.ifacsc.2021.100154
Rosentreter, J. A., Borges, A. V., Deemer, B. R., Holgerson, M. A., Liu, S., Song, C., … Eyre, B. D. (2021). Half of global methane emissions come from highly variable aquatic ecosystem sources. Nature Geoscience, 14(4), 225–230. https://doi.org/10.1038/s41561-021-00715-2
Moshkov, M. (2021). On the depth of decision trees over infinite 1-homogeneous binary information systems. Array, 10, 100060. https://doi.org/10.1016/j.array.2021.100060
Slater, L. T., Karwath, A., Williams, J. A., Russell, S., Makepeace, S., Carberry, A., … Gkoutos, G. V. (2021). Towards similarity-based differential diagnostics for common diseases. Computers in Biology and Medicine, 133, 104360. https://doi.org/10.1016/j.compbiomed.2021.104360
Naveed, H., Reglin, C., Schubert, T., Gao, X., Arold, S. T., & Maitland, M. L. (2021). Identifying Novel Drug Targets by iDTPnd: A Case Study of Kinase Inhibitors. Genomics, Proteomics & Bioinformatics. https://doi.org/10.1016/j.gpb.2020.05.006
Ben Nasser, B., Djemai, M., Defoort, M., & Laleg-Kirati, T.-M. (2021). Time scale observability and constructibility of linear dynamic equations. International Journal of Control, 1–11. https://doi.org/10.1080/00207179.2021.1890823
Sanderson, L. E., Lanko, K., Alsagob, M., Almass, R., Al-Ahmadi, N., Najafi, M., … Perenthaler, E. (2021). Bi-allelic variants in HOPS complex subunit VPS41 cause cerebellar ataxia and abnormal membrane trafficking. Brain, 144(3), 769–780. https://doi.org/10.1093/brain/awaa459
Kuwahara, H., & Gao, X. (2021). Analysis of the effects of related fingerprints on molecular similarity using an eigenvalue entropy approach. Journal of Cheminformatics, 13(1). https://doi.org/10.1186/s13321-021-00506-2
Fan, M., Chen, H., You, C., Liu, L., Gu, Y., Peng, W., … Li, L. (2021). Radiomics of Tumor Heterogeneity in Longitudinal Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Predicting Response to Neoadjuvant Chemotherapy in Breast Cancer. Frontiers in Molecular Biosciences, 8. https://doi.org/10.3389/fmolb.2021.622219
Eldawlatly, S., Abouelhoda, M., Al-Kadi, O. S., Gojobori, T., Jankovic, B., Khalil, M., … Morsy, A. (2021). Biomedical computing in the Arab world. Communications of the ACM, 64(4), 108–113. doi:10.1145/3447746
Lozin, V., & Moshkov, M. (2021). Critical Properties and Complexity Measures of Read-Once Boolean Functions. Annals of Mathematics and Artificial Intelligence, 89(5-6), 595–614. https://doi.org/10.1007/s10472-021-09734-6
Gunner, R., Wilson, R., Holton, M., Scott, R., Arkwright, A., Fahlman, A., … Eizaguirre, C. (2021). Activity of loggerhead turtles during the U-shaped dive: insights using angular velocity metrics. Endangered Species Research, 45, 1–12. https://doi.org/10.3354/esr01125
Gattuso, J.-P., Williamson, P., Duarte, C. M., & Magnan, A. K. (2021). The Potential for Ocean-Based Climate Action: Negative Emissions Technologies and Beyond. Frontiers in Climate, 2. https://doi.org/10.3389/fclim.2020.575716
Sequeira, A. M. M., O’Toole, M., Keates, T. R., McDonnell, L. H., Braun, C. D., Hoenner, X., … Weise, M. (2021). A standardisation framework for bio‐logging data to advance ecological research and conservation. Methods in Ecology and Evolution. https://doi.org/10.1111/2041-210x.13593
Chalastani, V. I., Tsoukala, V. K., Coccossis, H., & Duarte, C. M. (2021). A bibliometric assessment of progress in marine spatial planning. Marine Policy, 127, 104329. https://doi.org/10.1016/j.marpol.2020.104329
Bennett, S., Santana‐Garcon, J., Marbà, N., Jorda, G., Anton, A., Apostolaki, E. T., … Duarte, C. M. (2021). Climate‐driven impacts of exotic species on marine ecosystems. Global Ecology and Biogeography, 30(5), 1043–1055. https://doi.org/10.1111/geb.13283
Rossbach, S., Hume, B. C. C., Cárdenas, A., Perna, G., Voolstra, C. R., & Duarte, C. M. (2021). Flexibility in Red Sea Tridacna maxima Symbiodiniaceae associations supports environmental niche adaptation. Ecology and Evolution, 11(7), 3393–3406. https://doi.org/10.1002/ece3.7299
Li, P., & Laleg-Kirati, T.-M. (2021). Central Blood Pressure Estimation From Distal PPG Measurement Using Semiclassical Signal Analysis Features. IEEE Access, 9, 44963–44973. https://doi.org/10.1109/access.2021.3065576
Liu-Wei, W., Kafkas, Ş., Chen, J., Dimonaco, N. J., Tegnér, J., & Hoehndorf, R. (2021). DeepViral: prediction of novel virus–host interactions from protein sequences and infectious disease phenotypes. Bioinformatics. https://doi.org/10.1093/bioinformatics/btab147
Althubaiti, S., Kulmanov, M., Liu, Y., Gkoutos, G. V., Schofield, P., & Hoehndorf, R. (2021). DeepMOCCA: A pan-cancer prognostic model identifies personalized prognostic markers through graph attention and multi-omics data integration. https://doi.org/10.1101/2021.03.02.433454
Khan, Z., Kahin, K., & Hauser, C. (2021). Time-dependent pulsing of microfluidic pumps to enhance 3D bioprinting of peptide bioinks. Microfluidics, BioMEMS, and Medical Microsystems XIX. https://doi.org/10.1117/12.2578830
Li, Z., Li, Y., Zhang, B., Li, Y., Long, Y., Zhou, J., … Gao, X. (2021). DeeReCT-APA: Prediction of Alternative Polyadenylation Site Usage Through Deep Learning. Genomics, Proteomics & Bioinformatics. doi:10.1016/j.gpb.2020.05.004
Rodríguez, J. P., Fernández-Gracia, J., Duarte, C. M., Irigoien, X., & Eguíluz, V. M. (2021). The global network of ports supporting high seas fishing. Science Advances, 7(9), eabe3470. https://doi.org/10.1126/sciadv.abe3470
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
Aldosari, M. N., Yalamanchi, K. K., Gao, X., & Sarathy, S. M. (2021). Predicting entropy and heat capacity of hydrocarbons using machine learning. Energy and AI, 4, 100054. https://doi.org/10.1016/j.egyai.2021.100054
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
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
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
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
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
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
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, 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
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
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
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
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
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
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
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
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
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
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
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, 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
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


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. https://doi.org/10.21203/rs.3.rs-119704/v1
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
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
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
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
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
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
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
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
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
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