title: Tclass: tumor classification system based on gene expression profile.
abstract: 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.
authors.affiliation: Beijing Institute of Basic Medical Sciences, PO Box 130(3), Beijing 100850, People's Republic of China. wujuli@china.com
authors.forename: Li
authors.initials: L
authors.lastname: Wuju
authors.forename: Xiong
authors.initials: X
authors.lastname: Momiao
mesh_terms: D003110:Colonic Neoplasms / Q000145:classification / Q000235:genetics; D019295:Computational Biology; D020869:Gene Expression Profiling / Q000706:statistics & numerical data*; D009369:Neoplasms / Q000145:classification* / Q000235:genetics*; D020411:Oligonucleotide Array Sequence Analysis / Q000706:statistics & numerical data; D012984:Software