Back to search

Article

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

2023-05-02

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...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
0902fa14-6b7e-5c30-831e-78490cc96921
DOI
10.1101/2023.05.02.539109
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Building Trust in Deep Learning-based Immune Response Predictors with Interpretable ExplanationsDOI 10.1101/2023.05.02.539109
Select a neighboring publication to make it the new centre.