Gene selection using hybrid particle swarm optimization and genetic algorithm

Abstract

Selecting high discriminative genes from gene expression data has become an important research. Not only can this improve the performance of cancer classification, but it can also cut down the cost of medical diagnoses when a large number of noisy, redundant genes are filtered. In this paper, a hybrid Particle Swarm Optimization (PSO) and Genetic Algorithm… (More)
DOI: 10.1007/s00500-007-0272-x

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