CRISPR-Variational Autoencoder: An Interpretable and Efficiency-Aware Guide Ribonucleic Acid Sequence Generator
Deep learning has shown significant potential in predicting guide Ribonucleic Acid (gRNA) efficiency, thereby optimizing engineered gRNAs and enhancing the application of CRISPR-Cas systems in genome editing. However, the black-box nature of these deep learning methods often lacks transparency, hind...
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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Engineered Science Publisher LLC
2025-03-01
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| シリーズ: | Engineered Science |
| 主題: | |
| オンライン・アクセス: | https://www.espublisher.com/journals/articlehtml/engineered-science/10.30919-es1452 |
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