Not every gene is special: Modelling scale controls the false discovery rate when analysing high-throughput sequencing data.

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Title: Not every gene is special: Modelling scale controls the false discovery rate when analysing high-throughput sequencing data.
Authors: Dos Santos SJ; Department of Biochemistry, Western University, London, Ontario, Canada., Murariu AC; Department of Biochemistry, Western University, London, Ontario, Canada., Silverman JD; Program in Bioinformatics and Genomics, Pennsylvania State University, University Park, Pennsylvania, United States of America.; College of Information Science and Technology, Pennsylvania State University, State College, Pennsylvania, United States of America.; Department of Statistics, Pennsylvania State University, State College, Pennsylvania, United States of America.; Department of Medicine, Pennsylvania State University, Hershey, Pennsylvania, United States of America.; Institute for Computational and Data Science, Pennsylvania State University, Hershey, Pennsylvania, United States of America., Gloor GB; Department of Biochemistry, Western University, London, Ontario, Canada.
Source: PLoS computational biology [PLoS Comput Biol] 2026 Sep 08; Vol. 22 (9), pp. e1014728. Date of Electronic Publication: 2026 Sep 08 (Print Publication: 2026).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1553-7358
DOI:10.1371/journal.pcbi.1014728