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| Format: | Recurso digital |
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Zenodo
2026
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| Accès en ligne: | https://doi.org/10.5281/zenodo.17364504 |
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Table des matières:
- <p>This record provides the single-cell immune repertoire sequencing (scRepertoire-seq) dataset and the corresponding optimization of the STM004 single-chain variable fragment (scFv) using a deep reinforcement learning model, MatuRL, as described in “AI-guided scFv engineering enhances T cell–specific cytotoxicity toward cancer cells.”Both datasets support the analyses and findings presented in the study.</p>