Machine Learning-Driven Prediction of CRISPR-Cas9 Off-Target Effects and Mechanistic Insights
The precise prediction of off-target effects in CRISPR-Cas9 genome editing is critical for ensuring the safety and efficacy of this powerful tool. This study leverages machine learning techniques to predict off-target cleavage sites and investigate the underlying mechanisms that affect cleavage effi...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Sciendo
2024-10-01
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| Serie: | The EuroBiotech Journal |
| Soggetti: | |
| Accesso online: | https://doi.org/10.2478/ebtj-2024-0020 |
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