View in EDS HTML Full Text PDF Full Text

XGDAG: explainable gene-disease associations via graph neural networks.

Saved in:
Bibliographic Details
Title: XGDAG: explainable gene-disease associations via graph neural networks.
Authors: Mastropietro A; Department of Computer, Control and Management Engineering 'Antonio Ruberti', Sapienza University of Rome, Rome 00185, Italy., De Carlo G; Department of Computer, Control and Management Engineering 'Antonio Ruberti', Sapienza University of Rome, Rome 00185, Italy., Anagnostopoulos A; Department of Computer, Control and Management Engineering 'Antonio Ruberti', Sapienza University of Rome, Rome 00185, Italy.
Source: Bioinformatics (Oxford, England) [Bioinformatics] 2023 Aug 01; Vol. 39 (8).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
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: 37531293
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: XGDAG: explainable gene-disease associations via graph neural networks.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Mastropietro+A%22">Mastropietro A</searchLink>; Department of Computer, Control and Management Engineering 'Antonio Ruberti', Sapienza University of Rome, Rome 00185, Italy.<br /><searchLink fieldCode="AU" term="%22De+Carlo+G%22">De Carlo G</searchLink>; Department of Computer, Control and Management Engineering 'Antonio Ruberti', Sapienza University of Rome, Rome 00185, Italy.<br /><searchLink fieldCode="AU" term="%22Anagnostopoulos+A%22">Anagnostopoulos A</searchLink>; Department of Computer, Control and Management Engineering 'Antonio Ruberti', Sapienza University of Rome, Rome 00185, Italy.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%229808944%22">Bioinformatics (Oxford, England)</searchLink> [Bioinformatics] 2023 Aug 01; Vol. 39 (8).
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Research Support, Non-U.S. Gov't
– 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=37531293
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1093/bioinformatics/btad482
    Languages:
      – Code: eng
        Text: English
    Titles:
      – TitleFull: XGDAG: explainable gene-disease associations via graph neural networks.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Mastropietro A
      – PersonEntity:
          Name:
            NameFull: De Carlo G
      – PersonEntity:
          Name:
            NameFull: Anagnostopoulos A
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 08
              Text: 2023 Aug 01
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-electronic
              Value: 1367-4811
          Numbering:
            – Type: volume
              Value: 39
            – Type: issue
              Value: 8
          Titles:
            – TitleFull: Bioinformatics (Oxford, England)
              Type: main
ResultId 1