Figure 1From: Entropy-based gene ranking without selection bias for the predictive classification of microarray dataThe methodology scheme. In order to avoid the selection bias, an external resampling scheme (stratified partitioning) is coupled to an internal K-fold cross-validation applied to the ranking method under study. The modeling procedure is replicated on resampled versions of the original data set, with validation always operated on a test set disjoint from the development material (dev) for the current run (VAL procedure). Modeling and feature ranking are computed by the internal OFS-M procedure (e.g. a SVM for each E-RFE or RFE step). Within OFS-M, the procedure ONF is designed to estimated the optimal number of features at the saturation of a Zip's law.Back to article page