CLEAN is a computational framework for analytically and visually integrating knowledge-based functional categories with the cluster analysis of genomics data. The framework is based on the simple, conceptually appealing, and biologically interpretable gene-specific functional coherence score (CLEAN score). The score is derived by correlating the clustering structure as a whole with functional categories of interest.
Laboratory for Statistical Genomics, Univ. Cincinnati
- R Package
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Freudenberg JM, Joshi VK, Hu Z, Medvedovic M.
CLEAN: CLustering Enrichment ANalysis.
BMC Bioinformatics (2009) 10:234. Pubmed. Poster presented at OCCBIO 2008.