Figure 1From: Comparison and evaluation of methods for generating differentially expressed gene lists from microarray dataExperimental design used to study the classifier power of genes lists from different feature selection methods. The most highly ranked genes were selected from 9 gene expression datasets using 11 feature selection approaches (10 methods and random). The power of these gene lists (of length between 2 and 100 genes) to form classifiers was assessed using four supervised classification methods. In each case genes were selected and classifiers trained using a training dataset. They were tested using training and test cross validation. The cumulative relative classifier information (RCI) score was recorded for each classification.Back to article page