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For: Arloth J, Eraslan G, Andlauer TFM, Martins J, Iurato S, Kühnel B, Waldenberger M, Frank J, Gold R, Hemmer B, Luessi F, Nischwitz S, Paul F, Wiendl H, Gieger C, Heilmann-Heimbach S, Kacprowski T, Laudes M, Meitinger T, Peters A, Rawal R, Strauch K, Lucae S, Müller-Myhsok B, Rietschel M, Theis FJ, Binder EB, Mueller NS. DeepWAS: Multivariate genotype-phenotype associations by directly integrating regulatory information using deep learning. PLoS Comput Biol 2020;16:e1007616. [PMID: 32012148 PMCID: PMC7043350 DOI: 10.1371/journal.pcbi.1007616] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 02/13/2020] [Accepted: 12/18/2019] [Indexed: 01/21/2023]  Open
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