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
:: 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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