Using data complexity measures and an evolutionary cultural algorithm for gene selection in microarray data
Cancer detection using gene expression data has been a major trend of research for the last decade.Microarray gene expression data is one of the most challenging types of data due to high dimensionality and rarity of available samples.Feature redundancy greatly contributes to the difficulty of prediction task.Therefore, it is essential to Skillets