Differential transcript usage analysis incorporating quantification uncertainty via compositional measurement error regression modeling.

Detalles Bibliográficos
Publicado en:Biostatistics Vol. 25; no. 2; pp. 559 - 577
Autores principales: Young, Amber M, Buren, Scott Van, Rashid, Naim U
Formato: Journal Article
Publicado: Oxford University Press / USA Apr2024
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=176611018&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 176611018
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        14654644
        N58
      jtl: Biostatistics
      issn: 14654644
      maglogo: N
    pubinfo:
      dt: Apr2024
      vid: 25
      iid: 2
      pid: 622
      pub: Oxford University Press / USA
    artinfo:
      ui:
        176611018
        10.1093/biostatistics/kxad008
        176611018
      ppf: 559
      ppct: 18
      formats:
      tig:
        atl: Differential transcript usage analysis incorporating quantification uncertainty via compositional measurement error regression modeling.
      aug:
        au:
          Young, Amber M
          Buren, Scott Van
          Rashid, Naim U
        affil: Department of Biostatistics, University of North Carolina at Chapel Hill , 135 Dauer Drive, Chapel Hill, NC, 27599, USA
      sug:
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
      ab:
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N