Eytan Ruppin

National Institutes of Health - Cancer Data Science Laboratory

9000 Rockville Pike

Bethesda, MD 20892

United States

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Scholarly Papers (1)

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The GENDULF Algorithm: Mining Transcriptomics to Uncover Modifier Genes for Monogenic Diseases

CR-MEDICINE-D-19-00045
Number of pages: 48 Posted: 13 Jan 2020
National Institutes of Health - Cancer Data Science Laboratory, Johns Hopkins University - Department of Neuroscience, University of California, Los Angeles (UCLA) - Interdepartmental Program in Bioinformatics, National Institutes of Health - Laboratory of Receptor Biology and Gene Expression, National Institutes of Health - Cancer Data Science Laboratory, Johns Hopkins University - Department of Pediatrics, Johns Hopkins University - Department of Neuroscience and National Institutes of Health - Cancer Data Science Laboratory
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Abstract:

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Monogenic disorders, Genetic modifiers, Gene expression analysis, Cystic Fibrosis, Spinal Muscular Atrophy