DL-CRISPR: A Deep Learning Method for Off-Target Activity Prediction in CRISPR/Cas9 With Data Augmentation

DL-CRISPR: A Deep Learning Method for Off-Target Activity Prediction in CRISPR/Cas9 With Data Augmentation

Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/CRISPR- associated (Cas) system is a popular and easy to use gene-editing technique, but it has off-target risk. Cutting the off-target sites will harm the cells severely, hence in silico methods are needed to help to avoid this. Mos...

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Bibliographic Details
Main Authors: Yu Zhang, Yahui Long, Rui Yin, Chee Keong Kwoh
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
CRISPR/Cas9
data augmentation
deep learning
off-target
Online Access:https://ieeexplore.ieee.org/document/9076075/

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