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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8652105/ https://www.ncbi.nlm.nih.gov/pubmed/34601583 http://dx.doi.org/10.1093/bioinformatics/btab687 |