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Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) models

<p>Abstract</p> <p>Background</p> <p>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 fo...

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書誌詳細
主要な著者: Flower Darren R, Xu Qiqi, Meng Xiangshan, Liu Wen, Li Tongbin
フォーマット: Artigo
言語:Inglês
出版事項: BMC 2006-03-01
シリーズ:BMC Bioinformatics
オンライン・アクセス:http://www.biomedcentral.com/1471-2105/7/182
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