Predicting peptide presentation by major histocompatibility complex class I using one million peptides
Kevin Michael Boehm, Bhavneet Bhinder, Vijay Joseph Raja, Noah Dephoure, Olivier Elemento
The paper trains a random forest classifier, ForestMHC, to predict MHC-I peptide presentation using a million human peptides, outperforming existing tools on test sets and mass spectrometry data.
BMC Bioinformatics · Jan 5, 2019Peer-reviewedBioinformatics