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
Description
ISSN:2210-7762
DOI:10.1016/j.cancergen.2026.05.002