IEPAPI：An improved immune epitope prediction method by incorporating antigen presentation and immunogenicity
Published: 27 February 2023| Version 3 | DOI: 10.17632/fwxg5mgntn.3
Contributor:
Juntao Deng
Description
Data S1: training data of eluted ligands Data S2: training data of immunogenicity Data S3: independent test data of antigen presentation Data S4: independent test data of immunogenicity (GBM test data) Data S5: independent test data of immunogenicity (TESLA test data) fivefold_val_flags(DataS1): Five-fold cross-validation division file for DataS1 fivefold_val_flags(DataS2): Five-fold cross-validation division file for DataS2
Files
Institutions
Tsinghua University
Categories
Immunology, Bioinformatics, Immunogenicity, Antigen Presentation, Major Histocompatibility Complex