Improving MHC class I antigen-processing predictions using representation learning and cleavage site-specific kernels
Summary: In this work, we propose a new deep-learning model, MHCrank, to predict the probability that a peptide will be processed for presentation by MHC class I molecules. We find that the performance of our model is significantly higher than that of two previously published baseline methods: MHCfl...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-09-01
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| Series: | Cell Reports: Methods |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667237522001758 |