Prediction of peptide binding to MHC using machine learning with sequence and structure-based feature sets
Selecting peptides that bind strongly to the major histocompatibility complex (MHC) for inclusion in a vaccine has therapeutic potential for infections and tumors. Machine learning models trained on sequence data exist for peptide:MHC (p:MHC) binding predictions. Here, we train support vector machin...
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Published in | Biochimica et biophysica acta. General subjects Vol. 1864; no. 4; p. 129535 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Netherlands
Elsevier B.V
01.04.2020
Elsevier |
Subjects | |
Online Access | Get full text |
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