C-RNNCrispr: Prediction of CRISPR/Cas9 sgRNA activity using convolutional and recurrent neural networks

C-RNNCrispr: Prediction of CRISPR/Cas9 sgRNA activity using convolutional and recurrent neural networks

CRISPR/Cas9 is a hot genomic editing tool, but its success is limited by the widely varying target efficiencies among different single guide RNAs (sgRNAs). In this study, we proposed C-RNNCrispr, a hybrid convolutional neural networks (CNNs) and bidirectional gate recurrent unit network (BGRU) frame...

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Bibliographic Details
Main Authors: Guishan Zhang, Zhiming Dai, Xianhua Dai
Format: Article
Language:English
Published: Elsevier 2020-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
CRISPR/Cas9
Convolutional neural network
Bidirectional gate recurrent unit network
sgRNA
On-target
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037019303186

Internet

http://www.sciencedirect.com/science/article/pii/S2001037019303186

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