A systematic mapping study on machine learning techniques for the prediction of CRISPR/Cas9 sgRNA target cleavage

A systematic mapping study on machine learning techniques for the prediction of CRISPR/Cas9 sgRNA target cleavage

CRISPR/Cas9 technology has greatly accelerated genome engineering research. The CRISPR/Cas9 complex, a bacterial immune response system, is widely adopted for RNA-driven targeted genome editing. The systematic mapping study presented in this paper examines the literature on machine learning (ML) tec...

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Bibliographic Details
Main Authors: Giovanni Dimauro, Vita S. Barletta, Claudia R. Catacchio, Lucio Colizzi, Rosalia Maglietta, Mario Ventura
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
CRISPR/Cas9
On/Off-target cleavage
Deep learning
Machine learning
sgRNA
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037022004603

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http://www.sciencedirect.com/science/article/pii/S2001037022004603

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