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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Zhang, Y. (2021). Computation Offloading and Service Caching in Heterogeneous MEC Wireless Networks. KAUST Research Repository. https://doi.org/10.25781/KAUST-DQ447
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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
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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
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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
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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
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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
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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,
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Ghaffour, Lilia & Noack, Matti & Reger, Johann & Laleg-Kirati, Taous-Meriem. (2020). Non-asymptotic State Estimation of Linear Reaction Diffusion Equation using Modulating Functions.
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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
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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.
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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10.1101/839332Fischer, 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
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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
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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
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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
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10.1002/edn3.48Sequeira, 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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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10.1002/eap.1947Rossbach, 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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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10.1101/635680Acinas, 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
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10.1101/635680Pei, 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
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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
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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
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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
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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
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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
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
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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
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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
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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
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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
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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
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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
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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
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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
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Burkholz, C., Duarte, C., & Garcias-Bonet, N. (2019). Thermal dependence of seagrass ecosystem metabolism in the Red Sea. Marine Ecology Progress Series, 614, 79–90. https://doi.org/10.3354/meps12912
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Saderne, V., Geraldi, N. R., Macreadie, P. I., Maher, D. T., Middelburg, J. J., Serrano, O., … Duarte, C. M. (2019). Role of carbonate burial in Blue Carbon budgets. Nature Communications, 10(1). https://doi.org/10.1038/s41467-019-08842-6
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Lovelock, C. E., & Duarte, C. M. (2019). Dimensions of Blue Carbon and emerging perspectives. Biology Letters, 15(3), 20180781. https://doi.org/10.1098/rsbl.2018.0781
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Ashok, A., Cusack, M., Saderne, V., Krishnakumar, P. K., Rabaoui, L., Qurban, M. A., … Agustí, S. (2019). Accelerated burial of petroleum hydrocarbons in Arabian Gulf blue carbon repositories. Science of The Total Environment, 669, 205–212. https://doi.org/10.1016/j.scitotenv.2019.01.437
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Liu, X., Liu, J., Zhu, S., Wang, W., & Zhang, X. (2020). Privacy Risk Analysis and Mitigation of Analytics Libraries in the Android Ecosystem. IEEE Transactions on Mobile Computing, 19(5), 1184–1199. https://doi.org/10.1109/tmc.2019.2903186
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Liu, X., Liu, J., Zhu, S., Wang, W., & Zhang, X. (2020). Privacy Risk Analysis and Mitigation of Analytics Libraries in the Android Ecosystem. IEEE Transactions on Mobile Computing, 19(5), 1184–1199. https://doi.org/10.1109/tmc.2019.2903186
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Palmer, E. E., Hong, S., Al Zahrani, F., Hashem, M. O., Aleisa, F. A., Ahmed, H. M. J., … Arold, S. T. (2019). De Novo Variants Disrupting the HX Repeat Motif of ATN1 Cause a Recognizable Non-Progressive Neurocognitive Syndrome. The American Journal of Human Genetics, 104(3), 542–552. https://doi.org/10.1016/j.ajhg.2019.01.013
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Kafkas, Ş., & Hoehndorf, R. (2019). Ontology based text mining of gene-phenotype associations: application to candidate gene prediction. Database, 2019. https://doi.org/10.1093/database/baz019
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Tse, C. K. M., Xu, J., Xu, L., Sheong, F. K., Wang, S., Chow, H. Y., … Huang, X. (2019). Intrinsic cleavage of RNA polymerase II adopts a nucleobase-independent mechanism assisted by transcript phosphate. Nature Catalysis, 2(3), 228–235. https://doi.org/10.1038/s41929-019-0227-5
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Boudellioua, I., Kulmanov, M., Schofield, P. N., Gkoutos, G. V., & Hoehndorf, R. (2019). DeepPVP: phenotype-based prioritization of causative variants using deep learning. BMC Bioinformatics, 20(1). https://doi.org/10.1186/s12859-019-2633-8
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Smaili, F. Z., Gao, X., & Hoehndorf, R. (2019). Formal axioms in biomedical ontologies improve analysis and interpretation of associated data. https://doi.org/10.1101/536649
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10.1101/536649Shaikh, S. F., Mazo-Mantilla, H. F., Qaiser, N., Khan, S. M., Nassar, J. M., Geraldi, N. R., … Hussain, M. M. (2019). Noninvasive Featherlight Wearable Compliant “Marine Skin”: Standalone Multisensory System for Deep-Sea Environmental Monitoring. Small, 15(10), 1804385. https://doi.org/10.1002/smll.201804385
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Akujuobi, U., Yufei, H., Zhang, Q., & Zhang, X. (2019). Collaborative Graph Walk for Semi-Supervised Multi-label Node Classification. 2019 IEEE International Conference on Data Mining (ICDM). https://doi.org/10.1109/icdm.2019.00010
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Liu, X., Li, Z., Wang, J., Yu, G., Domenicon, C., & Zhang, X. (2019). Cross-Modal Zero-Shot Hashing. 2019 IEEE International Conference on Data Mining (ICDM). https://doi.org/10.1109/icdm.2019.00055
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Zhang, W., Ding, W., Li, Y.-X., Tam, C., Bougouffa, S., Wang, R., … Qian, P.-Y. (2019). Marine biofilms constitute a bank of hidden microbial diversity and functional potential. Nature Communications, 10(1). https://doi.org/10.1038/s41467-019-08463-z
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Meng, Z., Liang, S., Bao, H., & Zhang, X. (2019). Co-Embedding Attributed Networks. Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining. https://doi.org/10.1145/3289600.3291015
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WILSON, R. P., HOLTON, M., WILSON, V. L., GUNNER, R., TYSSE, B., WILSON, G. I., … SCANTLEBURY, D. M. (2019). Towards informed metrics for examining the role of human-induced animal responses in tag studies on wild animals. Integrative Zoology, 14(1), 17–29. https://doi.org/10.1111/1749-4877.12328
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Martin, C., Almahasheer, H., & Duarte, C. M. (2019). Mangrove forests as traps for marine litter. Environmental Pollution, 247, 499–508. https://doi.org/10.1016/j.envpol.2019.01.067
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Garcias-Bonet, N., Vaquer-Sunyer, R., Duarte, C. M., & Marbà, N. (2019). Warming effect on nitrogen fixation in Mediterranean macrophyte sediments. Biogeosciences, 16(1), 167–175. https://doi.org/10.5194/bg-16-167-2019
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Agusti, S., Lubián, L. M., Moreno-Ostos, E., Estrada, M., & Duarte, C. M. (2019). Projected Changes in Photosynthetic Picoplankton in a Warmer Subtropical Ocean. Frontiers in Marine Science, 5. https://doi.org/10.3389/fmars.2018.00506
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N’Doye, I., Asiri, S., Aloufi, A., Asem Al-Awan, A., & Laleg-Kirati, T.-M. (2020). Intelligent Proportional–Integral–Derivative Control-Based Modulating Functions for Laser Beam Pointing and Stabilization. IEEE Transactions on Control Systems Technology, 28(3), 1001–1008. https://doi.org/10.1109/tcst.2018.2884197
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López‐Sandoval, D. C., Delgado‐Huertas, A., Carrillo‐de‐Albornoz, P., Duarte, C. M., & Agustí, S. (2019). Use of cavity ring‐down spectrometry to quantify
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Wang, G., Yin, H., Li, B., Yu, C., Wang, F., Xu, X., … Zhang, Z. (2019). Characterization and identification of long non-coding RNAs based on feature relationship. Bioinformatics, 35(17), 2949–2956. https://doi.org/10.1093/bioinformatics/btz008
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Shahul Hameed, U. F., Liao, C., Radhakrishnan, A. K., Huser, F., Aljedani, S. S., Zhao, X., … Arold, S. T. (2018). H-NS uses an autoinhibitory conformational switch for environment-controlled gene silencing. Nucleic Acids Research, 47(5), 2666–2680. https://doi.org/10.1093/nar/gky1299
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Lei, J., Sheng, G., Cheung, P. P.-H., Wang, S., Li, Y., Gao, X., … Huang, X. (2018). Two symmetric arginine residues play distinct roles inThermus thermophilusArgonaute DNA guide strand-mediated DNA target cleavage. Proceedings of the National Academy of Sciences, 116(3), 845–853. https://doi.org/10.1073/pnas.1817041116
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Alazmi, M., Kuwahara, H., Soufan, O., Ding, L., & Gao, X. (2018). Systematic selection of chemical fingerprint features improves the Gibbs energy prediction of biochemical reactions. Bioinformatics, 35(15), 2634–2643. https://doi.org/10.1093/bioinformatics/bty1035