title: Cancer Feature Selection and Classification Using a Binary Quantum-Behaved Particle Swarm Optimization and Support Vector Machine.
abstract: This paper focuses on the feature gene selection for cancer classification, which employs an optimization algorithm to select a subset of the genes. We propose a binary quantum-behaved particle swarm optimization (BQPSO) for cancer feature gene selection, coupling support vector machine (SVM) for cancer classification. First, the proposed BQPSO algorithm is described, which is a discretized version of original QPSO for binary 0-1 optimization problems. Then, we present the principle and procedure for cancer feature gene selection and cancer classification based on BQPSO and SVM with leave-one-out cross validation (LOOCV). Finally, the BQPSO coupling SVM (BQPSO/SVM), binary PSO coupling SVM (BPSO/SVM), and genetic algorithm coupling SVM (GA/SVM) are tested for feature gene selection and cancer classification on five microarray data sets, namely, Leukemia, Prostate, Colon, Lung, and Lymphoma. The experimental results show that BQPSO/SVM has significant advantages in accuracy, robustness, and the number of feature genes selected compared with the other two algorithms.
authors.affiliation: Department of Control Technology, Wuxi Institute of Technology, Wuxi, Jiangsu 214121, China.
authors.forename: Maolong
authors.identifier: 0000-0002-5849-6454
authors.initials: M
authors.lastname: Xi
authors.affiliation: Department of Computer Science, Jiangnan University, Wuxi, Jiangsu 214122, China.
authors.forename: Jun
authors.initials: J
authors.lastname: Sun
authors.affiliation: Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu 214062, China.
authors.forename: Li
authors.initials: L
authors.lastname: Liu
authors.affiliation: Department of Computer Science, Jiangnan University, Wuxi, Jiangsu 214122, China.
authors.forename: Fangyun
authors.initials: F
authors.lastname: Fan
authors.affiliation: Department of Computer Science, Jiangnan University, Wuxi, Jiangsu 214122, China.
authors.forename: Xiaojun
authors.initials: X
authors.lastname: Wu
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D006801:Humans; D015233:Models, Statistical; D009369:Neoplasms / Q000175:diagnosis* / Q000503:physiopathology*; D020411:Oligonucleotide Array Sequence Analysis; D011789:Quantum Theory; D015203:Reproducibility of Results; D060388:Support Vector Machine