A hybrid gene selection approach for microarray data classification using cellular learning automata and ant colony optimization

标题
A hybrid gene selection approach for microarray data classification using cellular learning automata and ant colony optimization
作者
关键词
Gene selection, Microarray data, Cellular learning automata, Ant colony optimization, K-nearest neighbor, Naïve Bayes
出版物
GENOMICS
Volume 107, Issue 6, Pages 231-238
出版商
Elsevier BV
发表日期
2016-05-04
DOI
10.1016/j.ygeno.2016.05.001

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