Figure 5From: Modeling the next generation sequencing sample processing pipeline for the purposes of classification Probability density estimate of the true error for RBF-SVM classification rule, without feature selection (left column, d =10 global markers are directly used), with t -test feature selection (right column), ρ =0.8, COV =0.05, ∑ j X i , j ∈(50K,100K) for SAGE-tags and the following total number of reads for NGS-reads: (a,b) ∑ j X i , j ∈(1K,50K) ; (c,d) ∑ j X i , j ∈(250K,300K) ; (e,f) ∑ j X i , j ∈(25M,25M+50K) ; (g,h) ∑ j X i , j ∈(50M,50M+50K) . Back to article page