Article

Predicting peptide presentation by major histocompatibility complex class I using one million peptides

2018-06-18

Abstract excerpt

Improved computational tools are needed to prioritize putative neoantigens within immunotherapy pipelines for cancer treatment. Herein, we assemble a database of over one million human peptides presented by major histocompatibility complex class I (MHC-I), the largest known database of its type. We use these data to train a random forest classifier (ForestMHC) to predict likelihood of MHC-I presentation. The infor...

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Literature Corpus work: 6fa5a1ae-5c04-5b51-8092-0dfdfa3634b6
DOI: 10.1101/349282

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