CNN-PepPred: An open-source tool to create convolutional NN models for the discovery of patterns in peptide sets - Application to peptide-MHC class II binding prediction
Summary: The ability to unveil binding patterns in peptide sets has important applications in several biomedical areas, including the development of vaccines. We present an open-source tool, CNN-PepPred, that uses convolutional neural networks to discover such patterns, along with its application to...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Oxford University Press
2021
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Online Access: | View Fulltext in Publisher |