Enhancing cell type annotation for cancer transcriptomics using retrieval-augmented generation.

Saved in:
Bibliographic Details
Title: Enhancing cell type annotation for cancer transcriptomics using retrieval-augmented generation.
Authors: Yang R; Institute of System Science, National University of Singapore, Singapore, 119615, Singapore., Le NQK; AIBioMed Lab, Taipei Medical University, Taipei, 110, Taiwan; Translational Imaging Research Center, Taipei Medical University Hospital, Taipei, 110, Taiwan. Electronic address: khanhlee@tmu.edu.tw., Chua MCH; Department of Biomedical Informatics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119615, Singapore. Electronic address: matthewchua@nus.edu.sg.
Source: Cancer genetics [Cancer Genet] 2026 May 20; Vol. 306-307, pp. 7-16. Date of Electronic Publication: 2026 May 20.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 101539150 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2210-7762 (Print) NLM ISO Abbreviation: Cancer Genet Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 42184649
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Enhancing cell type annotation for cancer transcriptomics using retrieval-augmented generation.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Yang+R%22">Yang R</searchLink>; Institute of System Science, National University of Singapore, Singapore, 119615, Singapore.<br /><searchLink fieldCode="AU" term="%22Le+NQK%22">Le NQK</searchLink>; AIBioMed Lab, Taipei Medical University, Taipei, 110, Taiwan; Translational Imaging Research Center, Taipei Medical University Hospital, Taipei, 110, Taiwan. Electronic address: khanhlee@tmu.edu.tw.<br /><searchLink fieldCode="AU" term="%22Chua+MCH%22">Chua MCH</searchLink>; Department of Biomedical Informatics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119615, Singapore. Electronic address: matthewchua@nus.edu.sg.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101539150%22">Cancer genetics</searchLink> [Cancer Genet] 2026 May 20; Vol. 306-307, pp. 7-16. <i>Date of Electronic Publication: </i>2026 May 20.
– 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="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101539150 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2210-7762 (Print) <i>NLM ISO Abbreviation: </i>Cancer Genet <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42184649
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.cancergen.2026.05.002
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 7
    Titles:
      – TitleFull: Enhancing cell type annotation for cancer transcriptomics using retrieval-augmented generation.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Yang R
      – PersonEntity:
          Name:
            NameFull: Le NQK
      – PersonEntity:
          Name:
            NameFull: Chua MCH
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 20
              M: 05
              Text: 2026 May 20
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 2210-7762
          Numbering:
            – Type: volume
              Value: 306-307
          Titles:
            – TitleFull: Cancer genetics
              Type: main
ResultId 1