sGSCA

:: DESCRIPTION

sGSCA (signature-based gene set co-expression analysis) can use the co-expression correlations between subsets of pathway genes to infer the pathway crosstalk networks. The method applies sparse canonical correlation analysis (sCCA) to measure the pathway level co-expression and simultaneously obtain the subsets or signature genes that contribute to the co-expression of pathways.

::DEVELOPER

Bioinformatics & Intelligent Information Processing Research Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

• Linux / Windows
• R

:: DOWNLOAD

sGSCA

:: MORE INFORMATION

Citation

Ting Wang, Jin Gu, Jun Yuan, Ran Tao, Yanda Li, Shao Li.
Inferring pathway crosstalk networks using gene set co-expression signatures.
Molecular BioSystems 2013, 9(7):1822-1888.

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