GNL-Scorer: a generalized model for predicting CRISPR on-target activity by machine learning and featurization

J Mol Cell Biol. 2020 Dec 3;12(11):909-911. doi: 10.1093/jmcb/mjz116.

Authors

Jun Wang^{1

2}, Xi Xiang^{3

4}, Lars Bolund^{3

4

5}, Xiuqing Zhang^{1

3}, Lixin Cheng², Yonglun Luo^{3

4

5}

Affiliations

¹ BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, China.
² Department of Critical Care Medicine, Shenzhen People's Hospital, The Second Clinical Medicine College of Jinan University, Shenzhen, China.
³ BGI-Shenzhen, Shenzhen, China.
⁴ Lars Bolund Institute of Regenerative Medicine, BGI-Qingdao, BGI-Shenzhen, Qingdao, China.
⁵ Department of Biomedicine, Aarhus University, Denmark.

No abstract available

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Bayes Theorem
CRISPR-Cas Systems / genetics*
Humans
Machine Learning*
Models, Genetic*
RNA, Guide, CRISPR-Cas Systems / genetics
Regression Analysis
Software*

Substances

RNA, Guide, CRISPR-Cas Systems