CGGA
CGGA | (Co-expressed Gene Groups Analysis) |
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Release date | 2006 |
Implementation | R |
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.
Related publications
- 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). ↩︎