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Prediction of MHC class II binding peptides based on an iterative learning model
BACKGROUND: Prediction of the binding ability of antigen peptides to major histocompatibility complex (MHC) class II molecules is important in vaccine development. The variable length of each binding peptide complicates this prediction. Motivated by a text mining model designed for building a classi...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2005
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1325229/ https://www.ncbi.nlm.nih.gov/pubmed/16351712 http://dx.doi.org/10.1186/1745-7580-1-6 |