NNAlign_MA can exploit this type of data, by means of: (1) clustering peptides into individual specificities; (2) automatic annotation of clusters to an MHC molecule; and (3) training of a prediction model covering all MHCs present in the training set. NNAlign_MA expands MHC allelic ...
NNAlign_MA simultaneously performs the tasks of (1) clustering peptides into individual specificities; (2) automatic annotation of each cluster to an MHC molecule; and (3) training of a prediction model covering all MHCs present in the training set. NNAlign_MA was benchmarked on large and ...