A novel family of beta mixture models for the differential analysis of DNA methylation data: An application to prostate cancer.

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Bibliographic Details
Title: A novel family of beta mixture models for the differential analysis of DNA methylation data: An application to prostate cancer.
Authors: Majumdar K; School of Mathematics and Statistics, University College Dublin, Dublin, Ireland., Silva R; School of Medicine, University College Dublin, Dublin, Ireland.; Conway Institute of Biomedical and Biomolecular Research, University College Dublin, Dublin, Ireland., Perry AS; Conway Institute of Biomedical and Biomolecular Research, University College Dublin, Dublin, Ireland.; School of Biology and Environmental Science, University College Dublin, Dublin, Ireland., Watson RW; School of Medicine, University College Dublin, Dublin, Ireland.; Conway Institute of Biomedical and Biomolecular Research, University College Dublin, Dublin, Ireland., Rau A; INRAE, UMR1313 AgroParisTech, GABI, Université Paris-Saclay, Gif-sur-Yvette, France., Jaffrezic F; INRAE, UMR1313 AgroParisTech, GABI, Université Paris-Saclay, Gif-sur-Yvette, France., Murphy TB; School of Mathematics and Statistics, University College Dublin, Dublin, Ireland., Gormley IC; School of Mathematics and Statistics, University College Dublin, Dublin, Ireland.
Source: PloS one [PLoS One] 2024 Dec 11; Vol. 19 (12), pp. e0314014. Date of Electronic Publication: 2024 Dec 11 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0314014