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iGA

swMATH ID: 35666
Software Authors: Rainer Breitling, Anna Amtmann, Pawel Herzyk
Description: Iterative Group Analysis (iGA): A simple tool to enhance sensitivity and facilitate interpretation of microarray experiments. Background: The biological interpretation of even a simple microarray experiment can be a challenging and highly complex task. Here we present a new method (Iterative Group Analysis) to facilitate, improve, and accelerate this process.
Homepage: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-5-34
Dependencies: Perl
Related Software: KEGG; FatiGO; GO-TermFinder; GSA; Bioconductor; GOrilla; GOLEM; BiNGO; GOTM; GOstat; TM4; THEA
Referenced in: 1 Publication

Referenced by 1 Author

1 Yang, Tae Young

Referenced in 1 Serial

1 Computational Statistics

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