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CD4+ T-cell Epitope Prediction Using Antigen Processing Constraints
T-cell CD4+ epitopes are important targets of immunity against infectious diseases and cancer. State-of-the-art methods for MHC class II epitope prediction rely on supervised learning methods in which an implicit or explicit model of sequence specificity is constructed using a training set of peptid...
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| Publicado no: | J Immunol Methods |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5321161/ https://ncbi.nlm.nih.gov/pubmed/26891811 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jim.2016.02.013 |
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