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

Shiran Abadi, Winston X. Yan, David Amar, Itay Mayrose*

*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

138 Scopus citations

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Computer Science

Engineering

Biochemistry, Genetics and Molecular Biology

Medicine and Dentistry

Chemical Engineering