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: Zhang, Yu, Long, Yahui, Yin, Rui, Kwoh, Chee Keong
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2021
Subjects:
Engineering::Computer science and engineering
CRISPR/Cas9
Data Augmentation
Online Access:https://hdl.handle.net/10356/145675

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