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Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) models
BACKGROUND: The binding between peptide epitopes and major histocompatibility complex proteins (MHCs) is an important event in the cellular immune response. Accurate prediction of the binding between short peptides and the MHC molecules has long been a principal challenge for immunoinformatics. Rece...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2006
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1513606/ https://ncbi.nlm.nih.gov/pubmed/16579851 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-7-182 |
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