GSCA (Gene Set Co-Expression Analysis) is a sofware to identify differentially co-expressed gene sets. The GSCA approach provides a false discovery rate controlled list of interesting gene sets, does not require that genes be highly correlated in at least one biological condition and is readily applied to data from individual or multiple experiments, as we demonstrate using data from studies of lung cancer and diabetes.
- Windows / Linux / MacOsX
- R package
:: MORE INFORMATION
Bioinformatics. 2009 Nov 1;25(21):2780-6. doi: 10.1093/bioinformatics/btp502. Epub 2009 Aug 18.
Statistical methods for gene set co-expression analysis.
Choi Y, Kendziorski C.