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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

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