T-cell receptor binding prediction: A machine learning revolution
Recent advancements in immune sequencing and experimental techniques are generating extensive T cell receptor (TCR) repertoire data, enabling the development of models to predict TCR binding specificity. Despite the computational challenges posed by the vast diversity of TCRs and epitopes, significa...
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| Main Authors: | Anna Weber, Aurélien Pélissier, María Rodríguez Martínez |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-09-01
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| Series: | ImmunoInformatics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667119024000107 |
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