EpicPred: predicting phenotypes driven by epitope-binding TCRs using attention-based multiple instance learning
Motivation Correctly identifying epitope-binding T-cell receptors (TCRs) is important to both understand their underlying biological mechanism in association to some phenotype and accordingly develop T-cell mediated immunotherapy treatments. Although the importance of the CDR3 region in TCRs for epi...
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| Vydané v: | Bioinformatics (Oxford, England) Ročník 41; číslo 3 |
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| Hlavní autori: | , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
England
Oxford University Press
04.03.2025
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| Predmet: | |
| ISSN: | 1367-4811, 1367-4803, 1367-4811 |
| On-line prístup: | Získať plný text |
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