Novel cancer subtyping method based on patient-specific gene regulatory network.

ABSTRACT: The identification of cancer subtypes is important for the understanding of tumor heterogeneity. In recent years, numerous computational methods have been proposed for this problem based on the multi-omics data of patients. It is widely accepted that different cancer subtypes are induced by different molecular regulatory networks. However, only a few incorporate the differences between their molecular systems into the identification processes. In this study, we present a novel method to identify cancer subtypes based on patient-specific molecular systems. Our method realizes this by quantifying patient-specific gene networks, which are estimated from their transcriptome data, and by clustering their quantified networks. Comprehensive analyses of The Cancer Genome Atlas (TCGA) datasets appl

SUBMITTER: Nakazawa MA 

PROVIDER: S-EPMC8654869 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature