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Updated: Sep 10, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Published on: December 6, 2024

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タンパク質言語モデルによるTCR表現学習:包括的なレビュー

Kyohei Kinoshita1, Tetsuya J Kobayashi2,3,1

  • 1University of Tokyo Graduate School of Engineering, Department of Electrical Engineering and Information Systems, Bunkyo, Tokyo, Japan.

International immunology
|August 26, 2025
PubMed
まとめ

タンパク質言語モデル (PLM) は,T細胞受容体 (TCR) のレパートリーを分析する強力な新しいアプローチを提供し,免疫プロファイリングと疾患診断を改善します. これらのモデルは,従来の方法の限界を克服し,TCR関数のより良い予測を可能にします.

キーワード:
AIRR についてTCR レパートリー抗原特異性予測自己指導による学習学習を移転する

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