Unsupervised feature selection algorithm for multiclass cancer classification of gene expression RNA-Seq data.This paper presents a Grouping Genetic Algorithm (GGA) to solve a maximally diverse grouping problem.  GGA extracts several groups of genes that achieve high accuracy in multiple classification. 
GGA
Accuracy has been evaluated by an Extreme Learning Machine algorithm and was found to be slightly higher in balanced databases than in unbalanced ones. 
Extreme Learning Machine