Repository landing page
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
Abstract
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- Dataset
- Dataset
- Biophysics
- Biochemistry
- Microbiology
- Cell Biology
- Genetics
- Molecular Biology
- Pharmacology
- Infectious Diseases
- Biological Sciences not elsewhere classified
- Information Systems not elsewhere classified
- 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