"A machine learning approach for predicting CRISPR-Cas9 cleavage ..."

Shiran Abadi et al. (2017)

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DOI: 10.1371/JOURNAL.PCBI.1005807

access: open

type: Journal Article

metadata version: 2020-09-10

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  - https://dblp.org/rec/journals/ploscb/AbadiYAM17
Shiran Abadi, Winston X. Yan, David Amar, Itay Mayrose:
A machine learning approach for predicting CRISPR-Cas9 cleavage efficiencies and patterns underlying its mechanism of action. PLoS Comput. Biol. 13(10) (2017)

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