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Systematically benchmarking peptide-MHC binding predictors: From synthetic to naturally processed epitopes
A number of machine learning-based predictors have been developed for identifying immunogenic T-cell epitopes based on major histocompatibility complex (MHC) class I and II binding affinities. Rationally selecting the most appropriate tool has been complicated by the evolving training data and machi...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6224037/ https://www.ncbi.nlm.nih.gov/pubmed/30408041 http://dx.doi.org/10.1371/journal.pcbi.1006457 |