Integration of machine learning for developing a prognostic signature related to programmed cell death in colorectal cancer - Xu, Qi‐Tong; Qiang, Jian‐Kun; Huang, Zhi‐Ye; Jiang, Wan‐Ju; Cui, Xi‐Mao; Hu, Ren‐Hao; Wang, Tao; Yi, Xiang‐Lan; Li, Jia‐Yuan; Yu, Zuoren; Zhang, Shun; Du, Tao; et al. (Environmental toxicology, 2024)
Keywords: Algorithms; Apoptosis; Cancer; Cell death; Colorectal cancer; colorectal cancer (CRC); Colorectal carcinoma; colorectal neoplasms; data collection; Datasets; drugs; ecotoxicology; Epigenetics; experimental validation; forests; Gene expression; Genes; Genomes; Global health; Immune system; Learning algorithms; Machine learning; machine learning algorithms; Medical prognosis; Mortality; neoplasm cells; Pathogenesis; prediction; Prognosis; prognostic signature; programmed cell death; programmed cell death (PCD); Public health; Risk groups; Survival; Therapeutic applications; therapeutics; Transcriptomes; colorectal cancer (CRC); machine learning algorithms; programmed cell death (PCD); experimental validation; prognostic signature