Papers: 10.1371/journal.pcbi.1005807

https://doi.org/10.1371/journal.pcbi.1005807

A machine learning approach for predicting CRISPR-Cas9 cleavage efficiencies and patterns underlying its mechanism of action

Cited by: 133
Author(s): Shiran Abadi, Wang‐Ji Yan, David Amar, Itay Mayrose
Published: almost 9 years ago

Software Mentions 1