SVM classifiers to prioritize candidate genes from genome-wide RNAi screens. Application of SVM classifiers to predict "stemness" genes applied on test sets of two independent genome-wide RNAi screens that identified candidate genes functional for self-renewal and insulin cell signalling. The black bars show the percentage of predicted MSMGs among the total genes from (a) positive test set (functional in self-renewal); and (b) negative test set (functional in insulin signalling).
Xu et al. BMC Systems Biology 2010 4:173 doi:10.1186/1752-0509-4-173