CLEAN: CLustering Enrichment ANalysis.

ABSTRACT:

Background

Integration of biological knowledge encoded in various lists of functionally related genes has become one of the most important aspects of analyzing genome-wide functional genomics data. In the context of cluster analysis, functional coherence of clusters established through such analyses have been used to identify biologically meaningful clusters, compare clustering algorithms and identify biological pathways associated with the biological process under investigation.

Results

We developed 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 s

SUBMITTER: Freudenberg JM 

PROVIDER: S-EPMC2734555 | biostudies-literature | 2009 Jul

REPOSITORIES: biostudies-literature