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- W4281965727 abstract "Due to the growing importance of immunotherapy, especially in the treatment of cancer or designing personalized vaccines, there is a need to understand the mechanisms of the adaptive immune response. Based on the available data on the immunogenic response of T cells (CD8 +) to viral peptides presented on the molecules of the major histocompatibility complex (MHC) class I, models of predicting immunogenicity were developed using methods such as: Decision Tree, Support Vector Machine and Extreme Gradient Boosting. Models were compared and validated to choose the best method of predicting immunogenicity." @default.
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- W4281965727 date "2022-06-01" @default.
- W4281965727 modified "2023-10-01" @default.
- W4281965727 title "Comparison and Evaluation of Models for Predicting Immunogenicity of Viral Antigens of the pMHC Complex from Murine Models" @default.
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- W4281965727 doi "https://doi.org/10.1007/978-3-030-99112-8_28" @default.
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