CGGA

Last updated on Dec 16, 2020
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CGGA(Co-expressed Gene Groups Analysis)
Release date2006
ImplementationR
AuthorsMartinez, R., Pasquier, N., and Pasquier, C.
Availabilitybinary 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.

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  2. Ricardo Martinez, Nicolas Pasquier, Martine Collard, Claude Pasquier, Lucero Lopez-Perez (2006). Co-Expressed Gene Groups Analysis (CGGA): An Automatic Tool for the Interpretation of Microarray Experiments. Journal of Integrative Bioinformatics.

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  3. Ricardo Martinez, Nicolas Pasquier, Claude Pasquier, Lucero Lopez-Perez (2006). Interpreting Microarray Experiments via Co-Expressed Gene Groups Analysis. 9th International Conference of Discovery Science (ICDS'06), Lecture Notes in Computer Science.

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  4. Ricardo Martinez, Nicolas Pasquier, Claude Pasquier (2008). GenMiner: Mining Non-Redundant Association Rules from Integrated Gene Expression Data and Annotations.. Bioinformatics (Oxford, England).

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Gene Expression Analysis Data Mining Ended Project
Claude Pasquier
Claude Pasquier
Researcher in Computer Science / Computational Biology

Université côte d’Azur, CNRS, I3S Laboratory, Sophia Antipolis