ChromeCRISPR - A High Efficacy Hybrid Machine Learning Model for CRISPR/Cas On-Target Predictions
Amirhossein Daneshpajouh, Megan Fowler, Kay C. Wiese
The paper develops a hybrid machine learning model, ChromeCRISPR, which outperforms existing models in predicting CRISPR/Cas9 on-target activity by combining CNN and RNN architectures.
bioRxiv · Apr 16, 2025 · PreprintBioinformatics