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

标题
A machine learning approach for predicting CRISPR-Cas9 cleavage efficiencies and patterns underlying its mechanism of action
作者
关键词
CRISPR, Enthalpy, Machine learning algorithms, Sequence motif analysis, Genome analysis, Machine learning, Sequence alignment, Forecasting
出版物
PLoS Computational Biology
Volume 13, Issue 10, Pages e1005807
出版商
Public Library of Science (PLoS)
发表日期
2017-10-17
DOI
10.1371/journal.pcbi.1005807

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