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Paper Details

Identifying digenic disease genes via machine learning in the Undiagnosed Diseases Network.
Am J Hum Genet
18
2021
DIDA, Rare diseases, UDN, Undiagnosed Diseases, digenic, digenic disease gene pairs, digenic disease genes, digenic pairs, digenic-disease-causing gene pairs, gene pairs, genetic disorders, genome, human, human gene pairs, non-monogenic diseases, people, variant gene pairs, variant pairs
Author NameAffiliation
John A PhillipsVanderbilt University School of Medicine
John A PhillipsVanderbilt University School of Medicine
Rizwan HamidVanderbilt University School of Medicine
Rizwan HamidVanderbilt University School of Medicine
Jens MeilerVanderbilt University, USA Center for Structural Biology, Vanderbilt University Medical Center, USA Institute for Drug Discovery, Leipzig University Medical School, Leipzig University
John A CapraVanderbilt University, USA Center for Structural Biology, Vanderbilt University Medical Center, USA Vanderbilt Genetics Institute, USA Bakar Computational Health Sciences Institute and Department of Epidemiology and Biostatistics, University of California san francisco
John A CapraVanderbilt University, USA Center for Structural Biology, Vanderbilt University Medical Center, USA Vanderbilt Genetics Institute, USA Bakar Computational Health Sciences Institute and Department of Epidemiology and Biostatistics, University of California san francisco
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Datasets

Dataset
Description
Source Link
DIDADIgenic disease DAtabaseLink
DIDADIgenic disease DAtabaseLink
DIDADIgenic disease DAtabaseLink
DIDADIgenic disease DAtabaseLink
DIDADIgenic disease DAtabaseLink
Release 1.2