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Automated benchmarking of peptide-MHC class I binding predictions
Motivation: Numerous in silico methods predicting peptide binding to major histocompatibility complex (MHC) class I molecules have been developed over the last decades. However, the multitude of available prediction tools makes it non-trivial for the end-user to select which tool to use for a given...
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| Pubblicato in: | Bioinformatics |
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| Autori principali: | , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4481849/ https://ncbi.nlm.nih.gov/pubmed/25717196 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btv123 |
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