A novel dysregulated pathway-identification analysis based on global influence of within-pathway effects and crosstalk between pathways.

ABSTRACT: Identifying dysregulated pathways from high-throughput experimental data in order to infer underlying biological insights is an important task. Current pathway-identification methods focus on single pathways in isolation; however, consideration of crosstalk between pathways could improve our understanding of alterations in biological states. We propose a novel method of pathway analysis based on global influence (PAGI) to identify dysregulated pathways, by considering both within-pathway effects and crosstalk between pathways. We constructed a global gene–gene network based on the relationships among genes extracted from a pathway database. We then evaluated the extent of differential expression for each gene, and mapped them to the global network. The random walk with restart algorithm wa

SUBMITTER: Han J 

PROVIDER: S-EPMC4277084 | biostudies-literature | 2015 Jan

REPOSITORIES: biostudies-literature