Detection of driver mutations and genomic signatures in endometrial cancers using artificial intelligence algorithms.

Saved in:
Bibliographic Details
Title: Detection of driver mutations and genomic signatures in endometrial cancers using artificial intelligence algorithms.
Authors: Stan A; Biology Program, The Ohio State University, Marion, Ohio, United States of America., Bosart K; Biology Program, The Ohio State University, Marion, Ohio, United States of America., Kaur M; Biology Program, The Ohio State University, Marion, Ohio, United States of America., Vo M; Biology Department, Xavier University, Cincinnati, Ohio, United States of America., Escorcia W; Biology Department, Xavier University, Cincinnati, Ohio, United States of America., Yoder RJ; Department of Chemistry and Biochemistry, The Ohio State University, Marion, Ohio, United States of America., Bouley RA; Department of Chemistry and Biochemistry, The Ohio State University, Marion, Ohio, United States of America., Petreaca RC; Department of Molecular Genetics, The Ohio State University, Marion, Ohio, United States of America.; James Comprehensive Cancer Center, The Ohio State University Columbus, Columbus, Ohio, United States of America.
Source: PloS one [PLoS One] 2024 Feb 26; Vol. 19 (2), pp. e0299114. Date of Electronic Publication: 2024 Feb 26 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One 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: 38408048
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Detection of driver mutations and genomic signatures in endometrial cancers using artificial intelligence algorithms.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Stan+A%22">Stan A</searchLink>; Biology Program, The Ohio State University, Marion, Ohio, United States of America.<br /><searchLink fieldCode="AU" term="%22Bosart+K%22">Bosart K</searchLink>; Biology Program, The Ohio State University, Marion, Ohio, United States of America.<br /><searchLink fieldCode="AU" term="%22Kaur+M%22">Kaur M</searchLink>; Biology Program, The Ohio State University, Marion, Ohio, United States of America.<br /><searchLink fieldCode="AU" term="%22Vo+M%22">Vo M</searchLink>; Biology Department, Xavier University, Cincinnati, Ohio, United States of America.<br /><searchLink fieldCode="AU" term="%22Escorcia+W%22">Escorcia W</searchLink>; Biology Department, Xavier University, Cincinnati, Ohio, United States of America.<br /><searchLink fieldCode="AU" term="%22Yoder+RJ%22">Yoder RJ</searchLink>; Department of Chemistry and Biochemistry, The Ohio State University, Marion, Ohio, United States of America.<br /><searchLink fieldCode="AU" term="%22Bouley+RA%22">Bouley RA</searchLink>; Department of Chemistry and Biochemistry, The Ohio State University, Marion, Ohio, United States of America.<br /><searchLink fieldCode="AU" term="%22Petreaca+RC%22">Petreaca RC</searchLink>; Department of Molecular Genetics, The Ohio State University, Marion, Ohio, United States of America.; James Comprehensive Cancer Center, The Ohio State University Columbus, Columbus, Ohio, United States of America.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2024 Feb 26; Vol. 19 (2), pp. e0299114. <i>Date of Electronic Publication: </i>2024 Feb 26 (<i>Print Publication: </i>2024).
– 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="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101285081 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1932-6203 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2219326203%22">19326203 </searchLink><i>NLM ISO Abbreviation: </i>PLoS One <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38408048
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1371/journal.pone.0299114
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: e0299114
    Titles:
      – TitleFull: Detection of driver mutations and genomic signatures in endometrial cancers using artificial intelligence algorithms.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Stan A
      – PersonEntity:
          Name:
            NameFull: Bosart K
      – PersonEntity:
          Name:
            NameFull: Kaur M
      – PersonEntity:
          Name:
            NameFull: Vo M
      – PersonEntity:
          Name:
            NameFull: Escorcia W
      – PersonEntity:
          Name:
            NameFull: Yoder RJ
      – PersonEntity:
          Name:
            NameFull: Bouley RA
      – PersonEntity:
          Name:
            NameFull: Petreaca RC
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 26
              M: 02
              Text: 2024 Feb 26
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-electronic
              Value: 1932-6203
          Numbering:
            – Type: volume
              Value: 19
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: PloS one
              Type: main
ResultId 1