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Probabilistic classification of gene-by-treatment interactions on molecular count phenotypes.

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Title: Probabilistic classification of gene-by-treatment interactions on molecular count phenotypes.
Authors: Harigaya Y; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America., Matoba N; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.; UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America., Le BD; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.; UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America., Valone JM; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.; UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America., Stein JL; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.; UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.; Carolina Institute for Developmental Disabilities, Carrboro, North Carolina, United States of America., Love MI; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America., Valdar W; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Source: PLoS genetics [PLoS Genet] 2025 Apr 09; Vol. 21 (4), pp. e1011561. Date of Electronic Publication: 2025 Apr 09 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101239074 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7404 (Electronic) Linking ISSN: 15537390 NLM ISO Abbreviation: PLoS Genet Subsets: MEDLINE
Database: MEDLINE Ultimate
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