Gene selection for cancer identification: a decision tree model empowered by particle swarm optimization algorithm
In the application of microarray data, how to select a small number of informative genes from thousands of genes that may contribute to the occurrence of cancers is an important issue. Many researchers use various computational intelligence methods to analyzed gene expression data.
cancer particle swarm optimization gene expression decision tree classifier