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A transfer-learning approach to predict antigen immunogenicity and T-cell receptor specificity
Antigen immunogenicity and the specificity of binding of T-cell receptors to antigens are key properties underlying effective immune responses. Here we propose diffRBM, an approach based on transfer learning and Restricted Boltzmann Machines, to build sequence-based predictive models of these proper...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
eLife Sciences Publications, Ltd
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522340/ https://www.ncbi.nlm.nih.gov/pubmed/37681658 http://dx.doi.org/10.7554/eLife.85126 |