Predicting off-target effects for end-to-end CRISPR guide design
Jennifer Listgarten, Michael M. Weinstein, Melih Elibol, Luong Hoang, John G. Doench, Nicolò Fusi
This paper introduces a machine learning model, Elevation, for predicting CRISPR-Cas9 off-target effects, which outperforms existing methods and provides a new evaluation metric.
bioRxiv · Dec 2, 2016 · PreprintBioinformatics