From multi-omics data to the cancer druggable genediscovery: a novel machine learning-based approach
Hai Yang, Lipeng Gan, Rui Chen, Dongdong Li, Jing Zhang, Zhe Wang
This paper introduces DF-CAGE, a machine learning method that identifies cancer-druggable genes using multi-omics data from TCGA, finding 465 potential targets and highlighting the importance of CNAs and mutations.
Briefings in Bioinformatics · Nov 9, 2022Peer-reviewedBioinformatics