A Machine Learning Approach to Identify the Importance of Novel Features for CRISPR/Cas9 Activity Prediction

The reprogrammable CRISPR/Cas9 genome editing tool’s growing popularity is hindered by unwanted off-target effects. Efforts have been directed toward designing efficient guide RNAs as well as identifying potential off-target threats, yet factors that determine efficiency and off-target activity rema...

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Detalles Bibliográficos
Autores principales: Vora, Dhvani Sandip, Verma, Yugesh, Sundar, Durai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9405635/
https://www.ncbi.nlm.nih.gov/pubmed/36009017
http://dx.doi.org/10.3390/biom12081123

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9405635/
https://www.ncbi.nlm.nih.gov/pubmed/36009017
http://dx.doi.org/10.3390/biom12081123

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