A novel multiomics machine learning signature identifies rapid progression in clinically low risk prostate cancer
A novel machine learning non-linear prognostic framework encoding somatic copy-number alterations and biological information associated with gene products, along with an integrative multi-omics approach including epigenomics and transcriptomics into a patient-specific biological network offers a prognostic tool to iden...