Personalized Integrated Network Modeling of the Cancer Proteome Atlas.

ABSTRACT: Personalized (patient-specific) approaches have recently emerged with a precision medicine paradigm that acknowledges the fact that molecular pathway structures and activity might be considerably different within and across tumors. The functional cancer genome and proteome provide rich sources of information to identify patient-specific variations in signaling pathways and activities within and across tumors; however, current analytic methods lack the ability to exploit the diverse and multi-layered architecture of these complex biological networks. We assessed pan-cancer pathway activities for >7700 patients across 32 tumor types from The Cancer Proteome Atlas by developing a personalized cancer-specific integrated network estimation (PRECISE) model. PRECISE is a general Bayesian framewor

SUBMITTER: Ha MJ 

PROVIDER: S-EPMC6175854 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature