Fig. 10From: Data-driven human transcriptomic modules determined by independent component analysisFC importance in leukemia classification, as ranked from a random forest model. A random forest was built using the data from GSE13159, with features being the respective FC scores. FC 18, 39 and 54 were the three most important variables identified by the random forestBack to article page