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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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| Publicado no: | Bioinformatics |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2018
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| 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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