Fig. 5From: Machine learning applied to transcriptomic data to identify genes associated with feed efficiency in pigsBoxplot of AUROC of the classification of pigs on RFI in 10 test sets (from tenfold cross-validations). Classification was based on liver RNA-Seq expression data corresponding to different subsets of genes (50, 75, 100, 125, 150, 200, 250, 300, 350 and 400), pre-corrected by batch effects, and was performed using support vector machine (SVM), elastic net (ENET), nearest shrunken centroids (PAM) and random forest (RF) algorithmsBack to article page