10.6084/m9.figshare.c.3636941_D2.v1
Morten Nielsen
Morten
Nielsen
Massimo Andreatta
Massimo
Andreatta
Additional file 1: 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
Additional
500 nM
prediction
receptor
ROC curve
PCC
binding threshold
peptide length datasets Predictive performance
information
9 mer
allele
method
coefficient
AUC
Pearson
NetMHCpan
molecule
peptide lengths
MHC class
term
XLSX 70 kb
correlation
allmer
latter
2016-03-30 05:00:00
Dataset
https://springernature.figshare.com/articles/dataset/Additional_file_1_of_NetMHCpan-3_0_improved_prediction_of_binding_to_MHC_class_I_molecules_integrating_information_from_multiple_receptor_and_peptide_length_datasets/4443155
Predictive performance on different alleles and peptide lengths for the allmer and 9mer predictive methods. The two methods were trained as described in the text. The predictive performance was measured in terms of Pearsonâs correlation coefficient (PCC) and area under the ROC curve (AUC), the latter using a binding threshold of 500 nM. (XLSX 70 kb)