|CGGA||(Co-expressed Gene Groups Analysis)|
|Authors||Martinez, R., Pasquier, N., and Pasquier, C.|
|Availability||binary downloadable here|
CGGA (Co-expressed Gene Groups Analysis) 1 2 3 4 performs the extraction of bi-clusters of co-regulated genes from integrated gene expression data and gene annotations obtained from biological knowledge. First, the gene rank hierarchy is constructed using SAM F-Scores and then, the CGGA algorithm is applied to group of co-expressed genes.
- Co-Expressed Gene Groups Analysis (CGGA): An Automatic Tool for the Interpretation of Microarray Experiments. Journal of Integrative Bioinformatics.(2006). ↩︎
- Interpreting Microarray Experiments via Co-Expressed Gene Groups Analysis. 9th International Conference of Discovery Science (ICDS'06), Lecture Notes in Computer Science.(2006). ↩︎
- GenMiner: Mining Non-Redundant Association Rules from Integrated Gene Expression Data and Annotations.. Bioinformatics (Oxford, England).(2008). ↩︎