Fig. 4From: Feature selection of gene expression data for Cancer classification using double RBF-kernelsThe distribution of the two-class samples mapped on the two most important principal components at representation of vectors x by 50 most significant genes (a) and at application of all genes (b). The horizontal axis is the first principal component and the vertical axis is the second principal component. Black marks represent different categories of the centersBack to article page