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Functional Interpretation of Genetic Variants Using Deep Learning Predicts Impact on Epigenome
View ORCID ProfileGabriel E. Hoffman, Eric E. Schadt, View ORCID ProfilePanos Roussos
doi: https://doi.org/10.1101/389056
Gabriel E. Hoffman
1Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, U.S.A
2Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, U.S.A
3Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, U.S.A
Eric E. Schadt
2Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, U.S.A
3Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, U.S.A
Panos Roussos
1Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, U.S.A
2Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, U.S.A
3Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, U.S.A
4Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, U.S.A
5Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, BronX, NY, USA
Article usage
Posted August 09, 2018.
Functional Interpretation of Genetic Variants Using Deep Learning Predicts Impact on Epigenome
Gabriel E. Hoffman, Eric E. Schadt, Panos Roussos
bioRxiv 389056; doi: https://doi.org/10.1101/389056
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