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

Abstract

Summary: 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. Availability: A Windows^® binary executable is freely available at http://www.vai.org/vari/bioinformatics.htm Contact: Kyle.Furge@vai.org Supplementary information: http://www.vai.org/vari/bioinfomatics.htm