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Building Trust in Deep Learning-based Immune Response Predictors with Interpretable Explanations

2023-05-25

Abstract excerpt

The ability to predict whether a peptide will get presented on Major Histocompatibility Complex (MHC) class I molecules has profound implications in designing vaccines. Numerous deep learning-based predictors for peptide presentation on MHC class I molecules exist with high levels of accuracy. However, these MHC class I predictors are treated as black-box functions, providing little insight into their decision mak...

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Literature Corpus work
5a959653-9eae-520d-bc5d-064eed8a6e1c
DOI
10.21203/rs.3.rs-2885823/v1
Open publication

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Building Trust in Deep Learning-based Immune Response Predictors with Interpretable ExplanationsDOI 10.21203/rs.3.rs-2885823/v1
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