Deep Learning for Off-Target Effect Detection

Medical Biotechnology › Machine Learning Gene Therapy Research

Deep Learning for Off-Target Effect Detection

Interns will utilize convolutional and recurrent neural networks to identify and predict off-target genomic sites for CRISPR and other gene-editing therapies. This involves analyzing sequence data, chromatin accessibility patterns, and machine learning-based scoring systems to improve therapeutic safety and specificity.

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