DEexprs

datasets

cogena is a workflow for co-expressed gene-set enrichment analysis.
It aims to discovery smaller scale, but highly correlated cellular events that
may be of great biological relevance. A novel pipeline for drug discovery and
drug repositioning based on the cogena workflow is proposed. Particularly,
candidate drugs can be predicted based on the gene expression of disease-related
data, or other similar drugs can be identified based on the gene expression
of drug-related data. Moreover, the drug mode of action can be disclosed by
the associated pathway analysis. In summary, cogena is a flexible workflow for
various gene set enrichment analysis for co-expressed genes, with a focus on
pathway/GO analysis and drug repositioning.

Zhilong Jia

cogena

co-expressed gene-set enrichment analysis

DEexprs function

matrix with 706 DEGs (row) and 116 samples (column).

Format

<a href="http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13355">http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13355</a>

Source

<a href = 'http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13355'>http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE13355</a>

DEexprs: gene expression of DEG

Description

Arguments

Format

Source