Network propagation-based prioritization of long tail genes in 17 cancer types.

ABSTRACT:

Background

The diversity of genomic alterations in cancer poses challenges to fully understanding the etiologies of the disease. Recent interest in infrequent mutations, in genes that reside in the "long tail" of the mutational distribution, uncovered new genes with significant implications in cancer development. The study of cancer-relevant genes often requires integrative approaches pooling together multiple types of biological data. Network propagation methods demonstrate high efficacy in achieving this integration. Yet, the majority of these methods focus their assessment on detecting known cancer genes or identifying altered subnetworks. In this paper, we introduce a network propagation approach that entirely focuses on prioritizing long tail genes with potential functional im

SUBMITTER: Mohsen H 

PROVIDER: S-EPMC8496153 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature