Explainable machine learning and multimodal single cell analysis link NR4A2 to CD8(+) T-cell terminal exhaustion and a CD8-adjusted prognostic signature in hepatocellular carcinoma.
- DOI
- 10.1016/j.jgeb.2026.100777
- Published
- 2026 Sep
- Container
- Journal, genetic engineering & biotechnology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.jgeb.2026.100777,
title = {Explainable machine learning and multimodal single cell analysis link NR4A2 to CD8(+) T-cell terminal exhaustion and a CD8-adjusted prognostic signature in hepatocellular carcinoma.},
author = {Faisal S and Sammad A and Ejaz MA and Wang ZB},
year = {2026},
journal = {Journal, genetic engineering \& biotechnology},
doi = {10.1016/j.jgeb.2026.100777},
url = {https://doi.org/10.1016/j.jgeb.2026.100777}
}RIS
TY - JOUR TI - Explainable machine learning and multimodal single cell analysis link NR4A2 to CD8(+) T-cell terminal exhaustion and a CD8-adjusted prognostic signature in hepatocellular carcinoma. AU - Faisal S AU - Sammad A AU - Ejaz MA AU - Wang ZB PY - 2026 JO - Journal, genetic engineering & biotechnology DO - 10.1016/j.jgeb.2026.100777 UR - https://doi.org/10.1016/j.jgeb.2026.100777 ER -
APA
S, F., A, S., MA, E., & ZB, W. (2026). Explainable machine learning and multimodal single cell analysis link NR4A2 to CD8(+) T-cell terminal exhaustion and a CD8-adjusted prognostic signature in hepatocellular carcinoma.. Journal, genetic engineering & biotechnology. https://doi.org/10.1016/j.jgeb.2026.100777
Source records
- pubmed · retrieved 2026-09-25T19:30:01.012Z