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DeepWAS: Multivariate genotype-phenotype associations by directly integrating regulatory information using deep learning.

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Title: DeepWAS: Multivariate genotype-phenotype associations by directly integrating regulatory information using deep learning.
Authors: Arloth, Janine1,2 (AUTHOR), Eraslan, Gökcen2 (AUTHOR), Andlauer, Till F. M.1,3,4 (AUTHOR), Martins, Jade1 (AUTHOR), Iurato, Stella1 (AUTHOR), Kühnel, Brigitte5,6 (AUTHOR), Waldenberger, Melanie5,6,7 (AUTHOR), Frank, Josef8 (AUTHOR), Gold, Ralf4,9 (AUTHOR), Hemmer, Bernhard3,4,8 (AUTHOR), Luessi, Felix4,10 (AUTHOR), Nischwitz, Sandra1,4 (AUTHOR), Paul, Friedemann4,11 (AUTHOR), Wiendl, Heinz4,12 (AUTHOR), Gieger, Christian5,6 (AUTHOR), Heilmann-Heimbach, Stefanie13 (AUTHOR), Kacprowski, Tim14,15 (AUTHOR), Laudes, Matthias16 (AUTHOR), Meitinger, Thomas17 (AUTHOR), Peters, Annette6 (AUTHOR)
Source: PLoS Computational Biology. 2/3/2020, Vol. 16 Issue 2, p1-28. 28p. 4 Diagrams, 1 Chart, 1 Graph.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 2/3/2020, Vol. 16 Issue 2, p1-28. 28p. 4 Diagrams, 1 Chart, 1 Graph.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=141529870
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