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Fig. 6 | Genetics Selection Evolution

Fig. 6

From: Machine learning applied to transcriptomic data to identify genes associated with feed efficiency in pigs

Fig. 6

Boxplot of AUROC of the classification of pigs on RFI in 10 test sets (from tenfold cross validations). Classification was based on duodenum RNA-Seq expression data corresponding to different subsets of genes (50, 75, 100 and 125), either raw or pre-corrected by batch effects (suffix “pcs”), and was performed using support vector machine (SVM), elastic net (ENET), nearest shrunken centroids (PAM) and random forest (RF) algorithms

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