A Combined Multi-Omics and Supervised Learning Strategy Uncovers an Epithelial Signature of Radiotherapy Response in Colorectal Cancer
Reuben Kumar, Yujie He, Jiarui Zhou, Andrew David Beggs, Deena M.A. Gendoo
The paper identifies a 101-biomarker signature predicting radiotherapy response in colorectal cancer using multi-omics and supervised learning, achieving 89% accuracy.
bioRxiv · Apr 10, 2025 · PreprintBioinformatics