Improved Machine Learning-Based Model for the Classification of Off-Targets in the CRISPR/Cpf1 System-Reference-Cited by-同舟云学术

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Improved Machine Learning-Based Model for the Classification of Off-Targets in the CRISPR/Cpf1 System

Published:2023-11-17 Issue:48 Volume:8 Page:45578-45588
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Kesarwani Pragya¹²,Vora Dhvani Sandip²,Sundar Durai²³^ORCID

Affiliation:

1. Regional Centre for Biotechnology, NCR Biotech Science Cluster, third Milestone, Faridabad-Gurgaon Expressway, Faridabad 121001, Haryana, India

2. Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology (IIT) Delhi, New Delhi 110016, India

3. Yardi School of Artificial Intelligence, Indian Institute of Technology (IIT) Delhi, New Delhi 110016, India

Funder

Regional Centre for Biotechnology

GlaxoSmithKline

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.3c05691

Reference49 articles.

1. Genome engineering using the CRISPR-Cas9 system

2. ZFN, TALEN, and CRISPR/Cas-based methods for genome engineering

3. RNA-guided editing of bacterial genomes using CRISPR-Cas systems

4. Heritable genome editing in C. elegans via a CRISPR-Cas9 system

5. Heritable gene targeting in the mouse and rat using a CRISPR-Cas system

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