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How Computational Experiments Can Improve Our Understanding of the Genetic Architecture of Common Human Diseases., , , , и . Artif. Life, 26 (1): 23-37 (2020)Automated discovery of test statistics using genetic programming., , , и . Genet. Program. Evolvable Mach., 20 (1): 127-137 (2019)Image Feature Learning with Genetic Programming., , и . PPSN (2), том 12270 из Lecture Notes in Computer Science, стр. 63-78. Springer, (2020)Novel digital approaches to the assessment of problematic opioid use., , и . BioData Min., (2022)Gene Set Enrichment Analyses: lessons learned from the heart failure phenotype., , , , , , , , , и . BioData Min., 10 (1): 18:1-18:11 (2017)Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals., , , , , , , , , и 42 other автор(ы). BioData Min., 10 (1): 25:1-25:20 (2017)A comparison of methods for interpreting random forest models of genetic association in the presence of non-additive interactions., и . BioData Min., 14 (1): 9 (2021)Conservation machine learning., и . BioData Min., 13 (1): 9 (2020)Evolutionary computation: the next major transition of artificial intelligence?, , и . BioData Min., 10 (1): 26:1-26:3 (2017)The genetic interacting landscape of 63 candidate genes in Major Depressive Disorder: an explorative study., , , , , , , , , и 1 other автор(ы). BioData Min., (2014)