Improved binary PSO for feature selection using gene expression data

Ancona, 2005, Regularized least squares cancer classifiers from DNA microarray data, Bioinformatics, 6, S2

Berrar, 2006, Instance-based concept learning from multiclass DNA microarray data, Bioinformatics, 7, 73

Cover, 1967, Nearest neighbor pattern classification, 21

Crammer, 2000, On the learnability and design of output codes for multiclass problems

Dasarathy, 1991, 1

Diaz-Uriarte, 2006, Gene selection and classification of microarray data using random forest, BMC Bioinformatics, 7, 3, 10.1186/1471-2105-7-3

Fix, E., Hodges, J.L., 1951. Discriminatory Analysis—Nonparametric Discrimination: Consistency Properties. Technical Report 21-49-004, Report no. 4, US Air Force School of Aviation Medicine, Randolph Field, pp. 261–279.

Hsu, 2002, A comparison of methods for multi-class support vector machines, IEEE Trans. Neural Netw., 12, 415

Kennedy, 1995, Particle swarm optimization, 1942

Kennedy, 1997, A discrete binary version of the particle swarm algorithm. Systems, Man, and Cybernetics, 1997, 4104

Kennedy, 2001

Kreßel, 1999, Pairwise classification and support vector machines

Liu, 2005, An entropy-based gene selection method for cancer classification using microarray data, BMC Bioinformatics, 6, 76, 10.1186/1471-2105-6-76

Mitchell, 1997

Narendra, 1997, A branch and bound algorithm for feature subset selection, IEEE Trans. Comput., 6, 917, 10.1109/TC.1977.1674939

Oh, 2004, Hybrid genetic algorithm for feature selection, IEEE Trans. Pattern Anal. Mach. Intell., 26, 2004

Palau, 1998, The labeled cell classifier: a fast approximation to k nearest neighbors, 823

Platt, 2000, Large margin dags for multiclass classification

Pudil, 1994, Floating search methods in feature selection, Pattern Recognit. Lett., 15, 1119, 10.1016/0167-8655(94)90127-9

Raymer, 2000, Dimensionality reduction using genetic algorithms, IEEE Trans. Evol. Comput., 4, 164, 10.1109/4235.850656

Roberto, 1994, Using mutual information for selecting features in supervised neural net learning, IEEE Trans. Neural Netw., 5, 537, 10.1109/72.298224

Shi, 2005, An improved ga and a novel pso-ga-based hybrid algorithm, Inf. Process. Lett., 93, 255, 10.1016/j.ipl.2004.11.003

Shi, 1998

Specht, 1990, Probabilistic neural network, Neural Netw., 3, 109, 10.1016/0893-6080(90)90049-Q

Stacey, 2003, Particle swarm optimization with mutation, 1425

Statnikov, 2004, A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis, Bioinformatics, 21, 631, 10.1093/bioinformatics/bti033

Tang, 2006, Gene selection algorithms for microarray data based on least squares support vector machine, Bioinformatics, 7, 95

Weston, 1999, Support vector machines for multi-class pattern recognition, 21

Yang, 1998, Feature subset selection using a genetic algorithm, IEEE Intell. Syst., 13, 44, 10.1109/5254.671091

Yu, 1993, A more efficient branch and bound algorithm for feature selection, Pattern Recognit., 26, 883, 10.1016/0031-3203(93)90054-Z

Zhang, 2002, Feature selection using tabu search method, Pattern Recognit., 35, 701, 10.1016/S0031-3203(01)00046-2