View in EDS HTML Full Text PDF Full Text

Precisely modeling zero-inflated count phenotype for rare variants.

Saved in:
Bibliographic Details
Title: Precisely modeling zero-inflated count phenotype for rare variants.
Authors: Fan Q; Duke-NUS Medical School, Centre for Quantitative Medicine, National University of Singapore, Singapore, Singapore., Sun S; Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina, USA., Li YJ; Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA.
Source: Genetic epidemiology [Genet Epidemiol] 2022 Feb; Vol. 46 (1), pp. 73-86. Date of Electronic Publication: 2021 Nov 15.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Wiley-Liss Country of Publication: United States NLM ID: 8411723 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1098-2272 (Electronic) Linking ISSN: 07410395 NLM ISO Abbreviation: Genet Epidemiol 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: 34779034
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Precisely modeling zero-inflated count phenotype for rare variants.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Fan+Q%22">Fan Q</searchLink>; Duke-NUS Medical School, Centre for Quantitative Medicine, National University of Singapore, Singapore, Singapore.<br /><searchLink fieldCode="AU" term="%22Sun+S%22">Sun S</searchLink>; Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Li+YJ%22">Li YJ</searchLink>; Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%228411723%22">Genetic epidemiology</searchLink> [Genet Epidemiol] 2022 Feb; Vol. 46 (1), pp. 73-86. <i>Date of Electronic Publication: </i>2021 Nov 15.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley-Liss%22">Wiley-Liss </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8411723 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1098-2272 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2207410395%22">07410395 </searchLink><i>NLM ISO Abbreviation: </i>Genet Epidemiol <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=34779034
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/gepi.22438
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 73
    Titles:
      – TitleFull: Precisely modeling zero-inflated count phenotype for rare variants.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Fan Q
      – PersonEntity:
          Name:
            NameFull: Sun S
      – PersonEntity:
          Name:
            NameFull: Li YJ
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 02
              Text: 2022 Feb
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-electronic
              Value: 1098-2272
          Numbering:
            – Type: volume
              Value: 46
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Genetic epidemiology
              Type: main
ResultId 1