Ontology highlight
ABSTRACT:
SUBMITTER: Poirion OB
PROVIDER: S-EPMC8281595 | biostudies-literature | 2021 Jul
REPOSITORIES: biostudies-literature
Poirion Olivier B OB Jing Zheng Z Chaudhary Kumardeep K Huang Sijia S Garmire Lana X LX
Genome medicine 20210714 1
Multi-omics data are good resources for prognosis and survival prediction; however, these are difficult to integrate computationally. We introduce DeepProg, a novel ensemble framework of deep-learning and machine-learning approaches that robustly predicts patient survival subtypes using multi-omics data. It identifies two optimal survival subtypes in most cancers and yields significantly better risk-stratification than other multi-omics integration methods. DeepProg is highly predictive, exempli ...[more]