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Dataset Information

Differential network analysis for the identification of condition-specific pathway activity and regulation.


ABSTRACT:

Motivation

Identification of differential expressed genes has led to countless new discoveries. However, differentially expressed genes are only a proxy for finding dysregulated pathways. The problem is to identify how the network of regulatory and physical interactions rewires in different conditions or in disease.

Results

We developed a procedure named DINA (DIfferential Network Analysis), which is able to identify set of genes, whose co-regulation is condition-specific, starting from a collection of condition-specific gene expression profiles. DINA is also able to predict which transcription factors (TFs) may be responsible for the pathway condition-specific co-regulation. We derived 30 tissue-specific gene networks in human and identified several metabolic pathways as th

SUBMITTER: Gambardella G 

PROVIDER: S-EPMC3702259 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature