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公开(公告)号：US20240013860A1
公开(公告)日：2024-01-11
申请号：US18347105
申请日：2023-07-05
Applicant: BIOINFORMATICS SOLUTIONS INC.
CPC classification number: G16B20/30 , G16B20/20 , G01N33/6878
Abstract: Personalized machine learning systems and methods are provided to predict the collective response of a patient's CD8+ T cells by modeling positive and negative selection processes. For each individual patient, HLA-I self peptides were used as negative selection, and allele-matched immunogenic T cell epitopes as positive selection. The negative and positive peptides were used to train a binary classification model, which was then applied to predict the immunogenicity of candidate neoantigens of that patient.
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