csv<\/strong> file: test.csv<\/a><\/p>\n\n\n\n To note , deephlapan only predicts the potential neoantigens within HLA-A,B,C alleles. The blank in the file name is not allowed (e.g. ‘A B C.csv’ should be ‘A_B_C.csv’).<\/p>\n\n\n\n Binding score<\/strong>: the score predicted by the binding model of DeepHLApan, which ranges from 0 to 1 and indicates the probability that peptide binds with HLA allele. It would be more likely to be binders if the binding score closer to 1. <\/p>\n\n\n\n Immunogenicity score<\/strong> : the score predicted by the immunogenicity model of DeepHLApan, which ranges from 0 to 1 and 0.5 is the threshold to select the predicted immunogenic pHLA.<\/p>\n\n\n\n E-mail:<\/strong> zhanzhou@zju.edu.cn<\/a><\/p>\n\n\n\n Address: <\/strong> College of Pharmaceutical Sciences, Zhejiang University, Hangzhou<\/p>\n\n\n\n Citation:<\/strong> Wu, J., Wang, W., Zhang, J., Zhou, B., Zhao, W., Su, Z., Gu, X., Wu J., Zhou Z.*, Chen, S.* (2019). DeepHLApan: A deep learning approach for neoantigen prediction considering both HLA-peptide binding and immunogenicity<\/strong>. Frontiers in Immunology<\/em>, 10, 2559. https:\/\/doi.org\/10.3389\/fimmu.2019.02559<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" 1.The detailed example csv file: test.csv To note , deephlapan only predicts the potential neoantigens within HLA-A,B,C alleles. The blank…<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-79","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/pgx.zju.edu.cn\/deephlapan\/wp-json\/wp\/v2\/pages\/79"}],"collection":[{"href":"https:\/\/pgx.zju.edu.cn\/deephlapan\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/pgx.zju.edu.cn\/deephlapan\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/pgx.zju.edu.cn\/deephlapan\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/pgx.zju.edu.cn\/deephlapan\/wp-json\/wp\/v2\/comments?post=79"}],"version-history":[{"count":30,"href":"https:\/\/pgx.zju.edu.cn\/deephlapan\/wp-json\/wp\/v2\/pages\/79\/revisions"}],"predecessor-version":[{"id":274,"href":"https:\/\/pgx.zju.edu.cn\/deephlapan\/wp-json\/wp\/v2\/pages\/79\/revisions\/274"}],"wp:attachment":[{"href":"https:\/\/pgx.zju.edu.cn\/deephlapan\/wp-json\/wp\/v2\/media?parent=79"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}} Annotation,HLA,peptide\n NCI-3784,HLA-A01:01,MKRFVQWL\n NCI-3784,HLA-A03:01,MKRFVQWL\n NCI-3784,HLA-B07:02,MKRFVQWL\n NCI-3784,HLA-B07:02,MKRFVQWL\n NCI-3784,HLA-C07:02,MKRFVQWL\n NCI-3784,HLA-C07:02,MKRFVQWL\n NCI-3784,HLA-A01:01,KRFVQWLK\n NCI-3784,HLA-A03:01,KRFVQWLK\n NCI-3784,HLA-B07:02,KRFVQWLK\n NCI-3784,HLA-B07:02,KRFVQWLK<\/code><\/pre>\n\n\n\n2. The meaning of each parameter<\/h4>\n\n\n\n
3.Contact<\/h4>\n\n\n\n