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circuitSNPs: Predicting genetic effects using a Neural Network to model regulatory modules of DNase-seq footprints
Alexander G. Shanku, Anthony Findley, Cynthia Kalita, Heejung Shim, View ORCID ProfileFrancesca Luca, View ORCID ProfileRoger Pique-Regi
doi: https://doi.org/10.1101/337774
Alexander G. Shanku
1Center for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan, USA
Anthony Findley
1Center for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan, USA
Cynthia Kalita
1Center for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan, USA
Heejung Shim
3Centre for Systems Genomics, University of Melbourne, Victoria, Australia
Francesca Luca
1Center for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan, USA
2Department of Obstetrics and Gynecology, Wayne State University, Detroit, Michigan, USA
Roger Pique-Regi
1Center for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan, USA
2Department of Obstetrics and Gynecology, Wayne State University, Detroit, Michigan, USA
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Posted June 03, 2018.
circuitSNPs: Predicting genetic effects using a Neural Network to model regulatory modules of DNase-seq footprints
Alexander G. Shanku, Anthony Findley, Cynthia Kalita, Heejung Shim, Francesca Luca, Roger Pique-Regi
bioRxiv 337774; doi: https://doi.org/10.1101/337774
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