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

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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Bibliographic Details
Main Authors: Dhvani Sandip Vora, Yugesh Verma, Durai Sundar
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Biomolecules
Subjects:
CRISPR/Cas9
genome editing
machine learning
SHAP values
binding energy
off-targets
Online Access:https://www.mdpi.com/2218-273X/12/8/1123

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https://www.mdpi.com/2218-273X/12/8/1123

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