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使用基于BERT的转移学习方法准确预测TCR-pMHC相互作用

Jiawei Zhang1, Wang Ma1, Hui Yao2

  • 1Fresh Wind Biotechnologies Inc. (Tianjin), Tianjin, China.

Briefings in bioinformatics
|December 1, 2023
PubMed
概括

我们开发了TABR-BERT,这是一种用于预测T细胞受体 (TCR) 和-MHC (pMHC) 结合的深度学习模型. 它提高了准确性,特别是在新的表位上,促进了癌症免疫治疗的发展.

关键词:
贝尔特 (BERT) 公司深度学习是一种深度学习.免疫疗法 免疫疗法对TCR-pMHC相互作用的预测.代表性学习学习学习

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