Prognostic model for hepatocellular carcinoma based on anoikis-related genes: immune landscape analysis and prediction of drug sensitivity.

Zhang D, Liu S, Wu Q, Ma Y, Zhou S, Liu Z, Sun W, Lu Z

DOI: 10.3389/fmed.2023.1232814
Published: 2023
Container: Frontiers in medicine
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fmed.2023.1232814,
  title = {Prognostic model for hepatocellular carcinoma based on anoikis-related genes: immune landscape analysis and prediction of drug sensitivity.},
  author = {Zhang D and Liu S and Wu Q and Ma Y and Zhou S and Liu Z and Sun W and Lu Z},
  year = {2023},
  journal = {Frontiers in medicine},
  doi = {10.3389/fmed.2023.1232814},
  url = {https://doi.org/10.3389/fmed.2023.1232814}
}

RIS

TY  - JOUR
TI  - Prognostic model for hepatocellular carcinoma based on anoikis-related genes: immune landscape analysis and prediction of drug sensitivity.
AU  - Zhang D
AU  - Liu S
AU  - Wu Q
AU  - Ma Y
AU  - Zhou S
AU  - Liu Z
AU  - Sun W
AU  - Lu Z
PY  - 2023
JO  - Frontiers in medicine
DO  - 10.3389/fmed.2023.1232814
UR  - https://doi.org/10.3389/fmed.2023.1232814
ER  -

APA

D, Z., S, L., Q, W., Y, M., S, Z., Z, L., W, S., & Z, L. (2023). Prognostic model for hepatocellular carcinoma based on anoikis-related genes: immune landscape analysis and prediction of drug sensitivity.. Frontiers in medicine. https://doi.org/10.3389/fmed.2023.1232814

Source records

pubmed · retrieved 2026-09-25T12:54:52.166Z