MOSClip: multi-omic and survival pathway analysis for the identification of survival associated gene and modules.

ABSTRACT: Survival analyses of gene expression data has been a useful and widely used approach in clinical applications. But, in complex diseases, such as cancer, the identification of survival-associated cell processes - rather than single genes - provides more informative results because the efficacy of survival prediction increases when multiple prognostic features are combined to enlarge the possibility of having druggable targets. Moreover, genome-wide screening in molecular medicine has rapidly grown, providing not only gene expression but also multi-omic measurements such as DNA mutations, methylation, expression, and copy number data. In cancer, virtually all these aberrations can contribute in synergy to pathological processes, and their measurements can improve a patient's outcome and help

SUBMITTER: Martini P 

PROVIDER: S-EPMC6698707 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature