Skip to main content
Fig. 2 | BMC Bioinformatics

Fig. 2

From: Predicting peptide presentation by major histocompatibility complex class I: an improved machine learning approach to the immunopeptidome

Fig. 2

RF-based method outperforms existing predictors on unbalanced data. a AUPRC and b Prec1% on withheld test dataare greater for RF compared to NetMHC, NetMHCpan, and NetMHCstabpan, with no significant difference between MixMHCpred and RF (p > 0.01). P values are by Mann-Whitney U Test compared to ForestMHC. Data for this figure are provided in Additional file 4

Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us