Analysing the meta-interaction between pathways by gene set topological impact analysis.

ABSTRACT:

Background

Pathway analysis is widely applied in transcriptome analysis. Given certain transcriptomic changes, current pathway analysis tools tend to search for the most impacted pathways, which provides insight into underlying biological mechanisms. Further refining of the enriched pathways and extracting functional modules by "crosstalk" analysis have been proposed. However, the upstream/downstream relationships between the modules, which may provide extra biological insights such as the coordination of different functional modules and the signal transduction flow have been ignored.

Results

To quantitatively analyse the upstream/downstream relationships between functional modules, we developed a novel GEne Set Topological Impact Analysis (GESTIA), which could be used to as

SUBMITTER: Yan S 

PROVIDER: S-EPMC7592530 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature