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Machine learning applications in genetics and genomics

, and . Nature Reviews Genetics, 16 (6): 321--332 (May 7, 2015)
DOI: 10.1038/nrg3920

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SigTools: exploratory visualization for genomic signals., , and . Bioinform., 38 (4): 1126-1128 (2022)Understanding human genome regulation through entropic graph-based regularization and submodular optimization.. University of Washington, USA, (2016)Machine learning applications in genetics and genomics, and . Nature Reviews Genetics, 16 (6): 321--332 (May 7, 2015)Segway 2.0 Application Note Datasets., , , , , and . (June 2017)INGOT-DR: an interpretable classifier for predicting drug resistance in M. tuberculosis., , , , , and . Algorithms Mol. Biol., 16 (1): 17 (2021)DEEMD: Drug Efficacy Estimation against SARS-CoV-2 based on cell Morphology with Deep multiple instance learning., , , , , , and . CoRR, (2021)Segway 2.0 Application Note Scripts., , , , , and . (June 2017)Entropic Graph-based Posterior Regularization., , , and . ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 1992-2001. JMLR.org, (2015)An Interpretable Classification Method for Predicting Drug Resistance in M. Tuberculosis., , , , , and . WABI, volume 172 of LIPIcs, page 2:1-2:18. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2020)Predicting drug resistance in M. tuberculosis using a long-term recurrent convolutional network., , , , , and . BCB, page 29:1-29:10. ACM, (2021)