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The feasibility of genome-scale biological network inference using Graphics Processing Units., , , , и . Algorithms Mol. Biol., 12 (1): 8:1-8:13 (2017)Insights into Performance Fitness and Error Metrics for Machine Learning., и . CoRR, (2020)Hummingbird: efficient performance prediction for executing genomic applications in the cloud., , , , , , , , и . Bioinform., 37 (17): 2537-2543 (2021)Iterative point set registration for aligning scRNA-seq data., и . PLoS Comput. Biol., (2020)Supervised Adversarial Alignment of Single-Cell RNA-seq Data., , , , и . RECOMB, том 12074 из Lecture Notes in Computer Science, стр. 72-87. Springer, (2020)Swarm: A federated cloud framework for large-scale variant analysis., , , , , , , и . PLoS Comput. Biol., (2021)Opposition-based krill herd algorithm with Cauchy mutation and position clamping., , , и . Neurocomputing, (2016)A chaotic particle-swarm krill herd algorithm for global numerical optimization., , и . Kybernetes, 42 (6): 962-978 (2013)Applications of Computational Intelligence in Behavior Simulation of Concrete Materials., и . Computational Optimization and Applications in Engineering and Industry, том 359 из Studies in Computational Intelligence, Springer, (2011)A hybrid computational approach to derive new ground-motion prediction equations., , , и . Eng. Appl. Artif. Intell., 24 (4): 717-732 (2011)