MethylModes: computationally efficient detection of multimodal distributions in DNA methylation data.
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| Title: | MethylModes: computationally efficient detection of multimodal distributions in DNA methylation data. |
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| Authors: | Luo TS; Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, United States., LeFaive J; Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, United States., Dou J; Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, United States., Bakulski KM; Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, United States., Ware EB; Institute for Social Research, Survey Research Center at the University of Michigan, Ann Arbor, MI 48106, United States., Zawistowski M; Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, United States. |
| Source: | Bioinformatics (Oxford, England) [Bioinformatics] 2026 Jan 03; Vol. 42 (2). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1367-4811 |
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| DOI: | 10.1093/bioinformatics/btag045 |
