Enhancing CRISPR/Cas9 Precision: A Comparative Analysis of Deep Learning Models for Off-Target Prediction
Enhancing CRISPR/Cas9 Precision: A Comparative Analysis of Deep Learning Models for Off-Target Prediction CRISPR/Cas9 gene editing technology holds immense therapeutic potential, offering precise control over genetic modifications. However, off-target effects—unintended edits at genomic locations similar to the target site—represent a significant hurdle, particularly in clinical settings. Mitigating these risks requires robust prediction methods, and deep learning has emerged as a powerful tool in this endeavor. This analysis reviews the application of deep learning models to predict CRISPR/Cas9 off-target sites (OTS),…