NetCore: a network propagation approach using node coreness.

ABSTRACT: We present NetCore, a novel network propagation approach based on node coreness, for phenotype-genotype associations and module identification. NetCore addresses the node degree bias in PPI networks by using node coreness in the random walk with restart procedure, and achieves improved re-ranking of genes after propagation. Furthermore, NetCore implements a semi-supervised approach to identify phenotype-associated network modules, which anchors the identification of novel candidate genes at known genes associated with the phenotype. We evaluated NetCore on gene sets from 11 different GWAS traits and showed improved performance compared to the standard degree-based network propagation using cross-validation. Furthermore, we applied NetCore to identify disease genes and modules for Schizophr

SUBMITTER: Barel G 

PROVIDER: S-EPMC7515737 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature