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CIT: identification of differentially expressed clusters of genes from microarray data



CIT: identification of differentially expressed clusters of genes from microarray data



Bioinformatics 18(1): 205-206



Cluster Identification Tool (CIT) is a microarray analysis program that identifies differentially expressed genes. Following division of experimental samples based on a parameter of interest, CIT uses a statistical discrimination metric and permutation analysis to identify clusters of genes or individual genes that best differentiate between the experimental groups. CIT integrates with the freely available CLUSTER and TREEVIEW programs to form a more complete microarray analysis package.

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Accession: 010264409

Download citation: RISBibTeXText

PMID: 11836234

DOI: 10.1093/bioinformatics/18.1.205


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