title: A gene selection method for cancer classification.
abstract: This paper proposes a method to select a set of genes from a large number of genes with the ability of classifying types of diseases. The proposed gene selection method is designed according to correlation analysis and the concept of 95% reference range. The method is very simple and uses the information of all genes. We have used the method in leukemia patients and achieved good classification results.
authors.affiliation: Faculty of Mathematics and Computer Science, Fuzhou University, Fuzhou 350002, China.
authors.forename: Xiaodong
authors.initials: X
authors.lastname: Wang
authors.forename: Jun
authors.initials: J
authors.lastname: Tian
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods; D020869:Gene Expression Profiling / Q000379:methods; D006801:Humans; D007938:Leukemia / Q000145:classification* / Q000175:diagnosis / Q000235:genetics*; D008957:Models, Genetic; D015233:Models, Statistical; D009369:Neoplasms / Q000145:classification* / Q000175:diagnosis / Q000235:genetics*; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods; D012016:Reference Values; D015203:Reproducibility of Results; D012984:Software