title: A new classification model with simple decision rule for discovering optimal feature gene pairs.
abstract: Classifiers have been widely used to select an optimal subset of feature genes from microarray data for accurate classification of cancer samples and cancer-related studies. However, the classification rules derived from most classifiers are complex and difficult to understand in biological significance. How to solve this problem is a new challenge. In this paper, a new classification model based on gene pair is proposed to address the problem. The experimental results on several microarray data demonstrate that the proposed classification model performs well in finding a large number of excellent feature gene pairs. A 100% LOOCV classification accuracy can be achieved using a single classification model based on optimal feature gene pair or combining multiple top-ranked classification models. Using the proposed method, we successfully identified important cancer-related genes that had been validated in previous biological studies while they were not discovered by the other methods.
authors.affiliation: Department of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China. jieleehz@yahoo.com.cn
authors.forename: Jie
authors.initials: J
authors.lastname: Li
authors.forename: Xianglong
authors.initials: X
authors.lastname: Tang
mesh_terms: D000465:Algorithms; D001943:Breast Neoplasms / Q000145:classification / Q000235:genetics; D003110:Colonic Neoplasms / Q000145:classification / Q000235:genetics; D003627:Data Interpretation, Statistical; D030541:Databases, Genetic; D005260:Female; D020869:Gene Expression Profiling / Q000706:statistics & numerical data; D006801:Humans; D007938:Leukemia / Q000145:classification / Q000235:genetics; D016014:Linear Models; D008297:Male; D008957:Models, Genetic; D009369:Neoplasms / Q000145:classification* / Q000235:genetics*; D020411:Oligonucleotide Array Sequence Analysis / Q000706:statistics & numerical data*; D010363:Pattern Recognition, Automated