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Figure 1 | BMC Bioinformatics

Figure 1

From: Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data

Figure 1

Experimental 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.

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