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High-order sequence kernel methods for peptide analysis
High-order sequence kernel methods for peptide analysis
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机译:用于肽段分析的高阶序列核方法
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摘要
System and methods are disclosed to perform peptide-MHC interaction prediction by applying a high-order kernel function to determine a similarity between peptide sequences; applying one or more supervised strategies to the kernel to encode relevant physicochemical and interaction information about peptide sequence and MHC molecule; and applying a classifier to the kernel to identify the peptide-MHC interaction of interest in response to a query.
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