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NEOANTIGEN IDENTIFICATION USING HOTSPOTS

机译:使用热点识别新抗原

摘要

A method for identifying neoantigens that are likely to be presented on a surface of tumor cells of a subject. Peptide sequences of tumor neoantigens are obtained by sequencing the tumor cells of the subject. The peptide sequence of each of the neoantigens is associated with one or more k-mer blocks of a plurality of k-mer blocks of the nucleotide sequencing data of the subject; The peptide sequences and the associated k-mer blocks are input into a machine-learned presentation model to generate presentation likelihoods for the tumor neoantigens, each presentation likelihood representing the likelihood that a neoantigen is presented by an MHC allele on the surfaces of the tumor cells of the subject. A subset of the neoantigens is selected based on the presentation likelihoods.
机译:一种用于识别可能出现在受试者肿瘤细胞表面的新抗原的方法。通过对受试者的肿瘤细胞进行测序,获得肿瘤新抗原的肽序列。每个新抗原的肽序列与受试者核苷酸测序数据的多个k-mer块中的一个或多个k-mer块相关;将肽序列和相关k-mer块输入机器学习呈现模型中,以生成肿瘤新抗原的呈现可能性,每个呈现可能性表示新抗原由受试者肿瘤细胞表面上的MHC等位基因呈现的可能性。根据呈现可能性选择新抗原的子集。

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