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

被引：22

作者：

Rhodes, DR

Miller, JC

Haab, BB

Furge, KA ^{[1
]}

机构：

[1] Van Andel Res Inst, Mol Oncol Lab, Grand Rapids, MI 49053 USA

[2] Van Andel Res Inst, Lab DNA & Prot Microarray Technol, Grand Rapids, MI 49053 USA

来源：

BIOINFORMATICS | 2002年 / 18卷 / 01期

关键词：

D O I：

10.1093/bioinformatics/18.1.205

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Sum: 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(R) 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.

引用

页码：205 / 206

页数：2

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