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

Daniel R. Rhodes,Jeremy Miller,Brian B. Haab,Kyle A. Furge

Microarray analysis techniques

Microarray databases

Identification (biology)

2002

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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“CIT: identification of differentially expressed clusters of genes from microarray data” is a paper by Daniel R. Rhodes Jeremy Miller Brian B. Haab Kyle A. Furge published in 2002. It has an Open Access status of “bronze”. You can read and download a PDF Full Text of this paper here.