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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Detalles Bibliográficos
Autores principales: Zhang, Guishan, Dai, Zhiming, Dai, Xianhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7037582/
https://www.ncbi.nlm.nih.gov/pubmed/32123556
http://dx.doi.org/10.1016/j.csbj.2020.01.013

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7037582/
https://www.ncbi.nlm.nih.gov/pubmed/32123556
http://dx.doi.org/10.1016/j.csbj.2020.01.013

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