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Bioinformatics Vol. 18 no. 2 2002
Pages 325-326
© 2002 Oxford University Press

Applications Note

Tclass: tumor classification system based on gene expression profile

Li Wuju 1 and Xiong Momiao 2

1 Beijing Institute of Basic Medical Sciences, PO Box 130(3), Beijing 100850, People’s Republic of China
2 Human Genetics Center, School of Public Health, University of Texas-Houston Health Science Center, Houston, TX 77225, USA

Received on February 6, 2001 ; revised on July 8, 2001 ; accepted on August 14, 2001

Summary: A method that incorporates feature selection into Fisher’s linear discriminant analysis for gene expression based tumor classification and a corresponding program Tclass were developed. The proposed method was applied to a public gene expression data set for colon cancer that consists of 22 normal and 40 tumor colon tissue samples to evaluate its performance for classification. Preliminary results demonstrated that using only a subset of genes ranging from 3 to 10 can achieve high classification accuracy.

Availability: The program is written in Matlab and is being rewritten in the Java language. The source code is available upon request.

Contact: wujuli{at}china.com; mxiong{at}sph.uth.tmc.edu.


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