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.

Faisal S, Sammad A, Ejaz MA, Wang ZB

Open source

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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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

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