View in EDS HTML Full Text PDF Full Text

MethylModes: computationally efficient detection of multimodal distributions in DNA methylation data.

Saved in:
Bibliographic Details
Title: MethylModes: computationally efficient detection of multimodal distributions in DNA methylation data.
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
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41566768
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: MethylModes: computationally efficient detection of multimodal distributions in DNA methylation data.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Luo+TS%22">Luo TS</searchLink>; Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, United States.<br /><searchLink fieldCode="AU" term="%22LeFaive+J%22">LeFaive J</searchLink>; Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, United States.<br /><searchLink fieldCode="AU" term="%22Dou+J%22">Dou J</searchLink>; Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, United States.<br /><searchLink fieldCode="AU" term="%22Bakulski+KM%22">Bakulski KM</searchLink>; Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, United States.<br /><searchLink fieldCode="AU" term="%22Ware+EB%22">Ware EB</searchLink>; Institute for Social Research, Survey Research Center at the University of Michigan, Ann Arbor, MI 48106, United States.<br /><searchLink fieldCode="AU" term="%22Zawistowski+M%22">Zawistowski M</searchLink>; Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, United States.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%229808944%22">Bioinformatics (Oxford, England)</searchLink> [Bioinformatics] 2026 Jan 03; Vol. 42 (2).
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9808944 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1367-4811 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213674803%22">13674803 </searchLink><i>NLM ISO Abbreviation: </i>Bioinformatics <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41566768
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1093/bioinformatics/btag045
    Languages:
      – Code: eng
        Text: English
    Titles:
      – TitleFull: MethylModes: computationally efficient detection of multimodal distributions in DNA methylation data.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Luo TS
      – PersonEntity:
          Name:
            NameFull: LeFaive J
      – PersonEntity:
          Name:
            NameFull: Dou J
      – PersonEntity:
          Name:
            NameFull: Bakulski KM
      – PersonEntity:
          Name:
            NameFull: Ware EB
      – PersonEntity:
          Name:
            NameFull: Zawistowski M
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 03
              M: 01
              Text: 2026 Jan 03
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1367-4811
          Numbering:
            – Type: volume
              Value: 42
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Bioinformatics (Oxford, England)
              Type: main
ResultId 1