Computational Biology Predicts the Efficacy of Tumor Immune Checkpoint Blockade.

Kang W, Tong Y, Zhang W, Jian M, Zhang A, Ren G, Fan H, Yang J

DOI: 10.1155/2022/6087751
Published: 2022
Container: BioMed research international
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1155/2022/6087751,
  title = {Computational Biology Predicts the Efficacy of Tumor Immune Checkpoint Blockade.},
  author = {Kang W and Tong Y and Zhang W and Jian M and Zhang A and Ren G and Fan H and Yang J},
  year = {2022},
  journal = {BioMed research international},
  doi = {10.1155/2022/6087751},
  url = {https://doi.org/10.1155/2022/6087751}
}

RIS

TY  - JOUR
TI  - Computational Biology Predicts the Efficacy of Tumor Immune Checkpoint Blockade.
AU  - Kang W
AU  - Tong Y
AU  - Zhang W
AU  - Jian M
AU  - Zhang A
AU  - Ren G
AU  - Fan H
AU  - Yang J
PY  - 2022
JO  - BioMed research international
DO  - 10.1155/2022/6087751
UR  - https://doi.org/10.1155/2022/6087751
ER  -

APA

W, K., Y, T., W, Z., M, J., A, Z., G, R., H, F., & J, Y. (2022). Computational Biology Predicts the Efficacy of Tumor Immune Checkpoint Blockade.. BioMed research international. https://doi.org/10.1155/2022/6087751

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pubmed · retrieved 2026-09-25T00:09:27.987Z