View in EDS

Machine learning identifies activation of RUNX/AP-1 as drivers of mesenchymal and fibrotic regulatory programs in gastric cancer.

Saved in:
Bibliographic Details
Title: Machine learning identifies activation of RUNX/AP-1 as drivers of mesenchymal and fibrotic regulatory programs in gastric cancer.
Authors: Razavi-Mohseni M; Department of Biomedical Engineering and McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA., Huang W; Laboratory of Computational Cancer Genomics, Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore 138672., Guo YA; Laboratory of Computational Cancer Genomics, Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore 138672., Shigaki D; Department of Biomedical Engineering and McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA., Ho SWT; Laboratory of Cancer Epigenetic Regulation, Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore 138672., Tan P; Laboratory of Cancer Epigenetic Regulation, Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore 138672.; Cancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore 169857.; Cancer Science Institute of Singapore, National University of Singapore, Singapore 117599.; Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117593., Skanderup AJ; Laboratory of Computational Cancer Genomics, Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore 138672., Beer MA; Department of Biomedical Engineering and McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA; mbeer@jhu.edu skanderupamj@gis.a-star.edu.sg.
Source: Genome research [Genome Res] 2024 Jun 25; Vol. 34 (5), pp. 680-695. Date of Electronic Publication: 2024 Jun 25.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural
Journal Info: Publisher: Cold Spring Harbor Laboratory Press Country of Publication: United States NLM ID: 9518021 Publication Model: Electronic Cited Medium: Internet ISSN: 1549-5469 (Electronic) Linking ISSN: 10889051 NLM ISO Abbreviation: Genome Res Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 38777607
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Machine learning identifies activation of RUNX/AP-1 as drivers of mesenchymal and fibrotic regulatory programs in gastric cancer.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Razavi-Mohseni+M%22">Razavi-Mohseni M</searchLink>; Department of Biomedical Engineering and McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA.<br /><searchLink fieldCode="AU" term="%22Huang+W%22">Huang W</searchLink>; Laboratory of Computational Cancer Genomics, Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore 138672.<br /><searchLink fieldCode="AU" term="%22Guo+YA%22">Guo YA</searchLink>; Laboratory of Computational Cancer Genomics, Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore 138672.<br /><searchLink fieldCode="AU" term="%22Shigaki+D%22">Shigaki D</searchLink>; Department of Biomedical Engineering and McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA.<br /><searchLink fieldCode="AU" term="%22Ho+SWT%22">Ho SWT</searchLink>; Laboratory of Cancer Epigenetic Regulation, Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore 138672.<br /><searchLink fieldCode="AU" term="%22Tan+P%22">Tan P</searchLink>; Laboratory of Cancer Epigenetic Regulation, Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore 138672.; Cancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore 169857.; Cancer Science Institute of Singapore, National University of Singapore, Singapore 117599.; Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117593.<br /><searchLink fieldCode="AU" term="%22Skanderup+AJ%22">Skanderup AJ</searchLink>; Laboratory of Computational Cancer Genomics, Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore 138672.<br /><searchLink fieldCode="AU" term="%22Beer+MA%22">Beer MA</searchLink>; Department of Biomedical Engineering and McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA; mbeer@jhu.edu skanderupamj@gis.a-star.edu.sg.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%229518021%22">Genome research</searchLink> [Genome Res] 2024 Jun 25; Vol. 34 (5), pp. 680-695. <i>Date of Electronic Publication: </i>2024 Jun 25.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Cold+Spring+Harbor+Laboratory+Press%22">Cold Spring Harbor Laboratory Press </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9518021 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1549-5469 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210889051%22">10889051 </searchLink><i>NLM ISO Abbreviation: </i>Genome Res <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38777607
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1101/gr.278565.123
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 680
    Titles:
      – TitleFull: Machine learning identifies activation of RUNX/AP-1 as drivers of mesenchymal and fibrotic regulatory programs in gastric cancer.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Razavi-Mohseni M
      – PersonEntity:
          Name:
            NameFull: Huang W
      – PersonEntity:
          Name:
            NameFull: Guo YA
      – PersonEntity:
          Name:
            NameFull: Shigaki D
      – PersonEntity:
          Name:
            NameFull: Ho SWT
      – PersonEntity:
          Name:
            NameFull: Tan P
      – PersonEntity:
          Name:
            NameFull: Skanderup AJ
      – PersonEntity:
          Name:
            NameFull: Beer MA
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 25
              M: 06
              Text: 2024 Jun 25
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-electronic
              Value: 1549-5469
          Numbering:
            – Type: volume
              Value: 34
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: Genome research
              Type: main
ResultId 1