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An automated benchmarking platform for MHC class II binding prediction methods

MOTIVATION: Computational methods for the prediction of peptide-MHC binding have become an integral and essential component for candidate selection in experimental T cell epitope discovery studies. The sheer amount of published prediction methods—and often discordant reports on their performance—pos...

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Detalhes bibliográficos
Publicado no:Bioinformatics
Main Authors: Andreatta, Massimo, Trolle, Thomas, Yan, Zhen, Greenbaum, Jason A, Peters, Bjoern, Nielsen, Morten
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2018
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5925780/
https://ncbi.nlm.nih.gov/pubmed/29281002
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx820
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