10.6084/m9.figshare.c.3636941_D3.v1 Morten Nielsen Morten Nielsen Massimo Andreatta Massimo Andreatta Additional file 2: of NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets Springer Nature 2016 allmer-allele Additional 500 nM prediction receptor ROC curve PCC binding threshold peptide length datasets Predictive performance information XLSX 66 kb allele method coefficient AUC Pearson NetMHCpan molecule peptide lengths MHC class term correlation allmer latter 2016-03-30 05:00:00 Dataset https://springernature.figshare.com/articles/dataset/Additional_file_2_of_NetMHCpan-3_0_improved_prediction_of_binding_to_MHC_class_I_molecules_integrating_information_from_multiple_receptor_and_peptide_length_datasets/4443158 Predictive performance on different alleles and peptide lengths for the allmer and allmer-allele predictive methods. The two methods were trained as described in the text. The predictive performance was measured in terms of Pearson’s correlation coefficient (PCC) and area under the ROC curve (AUC), the latter using a binding threshold of 500 nM. (XLSX 66 kb)