Machine learning algorithms develop a tumor-educated platelets-related gene signature to predict colorectal cancer prognosis and therapy response.
- DOI
- 10.1016/j.isci.2026.116229
- Published
- 2026 Jul 17
- Container
- iScience
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.isci.2026.116229,
title = {Machine learning algorithms develop a tumor-educated platelets-related gene signature to predict colorectal cancer prognosis and therapy response.},
author = {Lao Y and Yang J and Hu M and Li J and Xu W and Xu J and Wang H and Jiang H and Pei Z and Qiu X and Wang K and Li X and Yang H},
year = {2026},
journal = {iScience},
doi = {10.1016/j.isci.2026.116229},
url = {https://doi.org/10.1016/j.isci.2026.116229}
}RIS
TY - JOUR TI - Machine learning algorithms develop a tumor-educated platelets-related gene signature to predict colorectal cancer prognosis and therapy response. AU - Lao Y AU - Yang J AU - Hu M AU - Li J AU - Xu W AU - Xu J AU - Wang H AU - Jiang H AU - Pei Z AU - Qiu X AU - Wang K AU - Li X AU - Yang H PY - 2026 JO - iScience DO - 10.1016/j.isci.2026.116229 UR - https://doi.org/10.1016/j.isci.2026.116229 ER -
APA
Y, L., J, Y., M, H., J, L., W, X., J, X., H, W., H, J., Z, P., X, Q., K, W., X, L., & H, Y. (2026). Machine learning algorithms develop a tumor-educated platelets-related gene signature to predict colorectal cancer prognosis and therapy response.. iScience. https://doi.org/10.1016/j.isci.2026.116229
Source records
- pubmed · retrieved 2026-09-26T04:24:53.102Z
- europe-pmc · retrieved 2026-09-26T04:24:53.116Z