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Dataset Information

CTpathway: a CrossTalk-based pathway enrichment analysis method for cancer research.


ABSTRACT:

Background

Pathway enrichment analysis (PEA) is a common method for exploring functions of hundreds of genes and identifying disease-risk pathways. Moreover, different pathways exert their functions through crosstalk. However, existing PEA methods do not sufficiently integrate essential pathway features, including pathway crosstalk, molecular interactions, and network topologies, resulting in many risk pathways that remain uninvestigated.

Methods

To overcome these limitations, we develop a new crosstalk-based PEA method, CTpathway, based on a global pathway crosstalk map (GPCM) with >440,000 edges by combing pathways from eight resources, transcription factor-gene regulations, and large-scale protein-protein interactions. Integrating gene differential expression and cross

SUBMITTER: Liu H 

PROVIDER: S-EPMC9563764 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature