Integrative evidence-knowledge marker selection enhances LLM-based cell type annotation in single-cell RNA-seq analysis.

Shin J, Jeong S, Kim HJ, Oh M

DOI: 10.1186/s13040-026-00593-7
Published: 2026 Aug 11
Container: BioData mining
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s13040-026-00593-7,
  title = {Integrative evidence-knowledge marker selection enhances LLM-based cell type annotation in single-cell RNA-seq analysis.},
  author = {Shin J and Jeong S and Kim HJ and Oh M},
  year = {2026},
  journal = {BioData mining},
  doi = {10.1186/s13040-026-00593-7},
  url = {https://doi.org/10.1186/s13040-026-00593-7}
}

RIS

TY  - JOUR
TI  - Integrative evidence-knowledge marker selection enhances LLM-based cell type annotation in single-cell RNA-seq analysis.
AU  - Shin J
AU  - Jeong S
AU  - Kim HJ
AU  - Oh M
PY  - 2026
JO  - BioData mining
DO  - 10.1186/s13040-026-00593-7
UR  - https://doi.org/10.1186/s13040-026-00593-7
ER  -

APA

J, S., S, J., HJ, K., & M, O. (2026). Integrative evidence-knowledge marker selection enhances LLM-based cell type annotation in single-cell RNA-seq analysis.. BioData mining. https://doi.org/10.1186/s13040-026-00593-7

Source records

pubmed · retrieved 2026-11-10T13:21:44.059Z