Identification of key gene signatures for predicting chemo-immunotherapy efficacy in extensive-stage small-cell lung cancer using machine learning.
- DOI
- 10.1016/j.lungcan.2024.108079
- Published
- 2025 Jan
- Container
- Lung cancer (Amsterdam, Netherlands)
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.lungcan.2024.108079,
title = {Identification of key gene signatures for predicting chemo-immunotherapy efficacy in extensive-stage small-cell lung cancer using machine learning.},
author = {Fujimoto D and Shibaki R and Kimura K and Haratani K and Tamiya M and Kijima T and Sato Y and Hata A and Yokoyama T and Taniguchi Y and Uchida J and Tanaka H and Furuya N and Miura S and Onishi MI and Sakata S and Miyauchi E and Yamamoto N and Koh Y and Akamatsu H},
year = {2025},
journal = {Lung cancer (Amsterdam, Netherlands)},
doi = {10.1016/j.lungcan.2024.108079},
url = {https://doi.org/10.1016/j.lungcan.2024.108079}
}RIS
TY - JOUR TI - Identification of key gene signatures for predicting chemo-immunotherapy efficacy in extensive-stage small-cell lung cancer using machine learning. AU - Fujimoto D AU - Shibaki R AU - Kimura K AU - Haratani K AU - Tamiya M AU - Kijima T AU - Sato Y AU - Hata A AU - Yokoyama T AU - Taniguchi Y AU - Uchida J AU - Tanaka H AU - Furuya N AU - Miura S AU - Onishi MI AU - Sakata S AU - Miyauchi E AU - Yamamoto N AU - Koh Y AU - Akamatsu H PY - 2025 JO - Lung cancer (Amsterdam, Netherlands) DO - 10.1016/j.lungcan.2024.108079 UR - https://doi.org/10.1016/j.lungcan.2024.108079 ER -
APA
D, F., R, S., K, K., K, H., M, T., T, K., Y, S., A, H., T, Y., Y, T., J, U., H, T., N, F., S, M., MI, O., S, S., E, M., N, Y., Y, K., & H, A. (2025). Identification of key gene signatures for predicting chemo-immunotherapy efficacy in extensive-stage small-cell lung cancer using machine learning.. Lung cancer (Amsterdam, Netherlands). https://doi.org/10.1016/j.lungcan.2024.108079
Source records
- pubmed · retrieved 2026-09-27T00:36:50.605Z