title: CIT: identification of differentially expressed clusters of genes from microarray data.
abstract: 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.
authors.affiliation: Laboratory of DNA and Protein Microarray Technology, Van Andel Research Institute, Grand Rapids, MI 49053, USA.
authors.forename: Daniel R
authors.initials: DR
authors.lastname: Rhodes
authors.forename: Jeremy C
authors.initials: JC
authors.lastname: Miller
authors.forename: Brian B
authors.initials: BB
authors.lastname: Haab
authors.forename: Kyle A
authors.initials: KA
authors.lastname: Furge
mesh_terms: D000465:Algorithms; D019295:Computational Biology; D020869:Gene Expression Profiling / Q000706:statistics & numerical data*; D006801:Humans; D008545:Melanoma / Q000235:genetics; D005810:Multigene Family; D020411:Oligonucleotide Array Sequence Analysis / Q000706:statistics & numerical data*; D012984:Software; D014407:Tumor Cells, Cultured