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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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Pubblicato in:Comput Struct Biotechnol J
Autori principali: Zhang, Guishan, Dai, Zhiming, Dai, Xianhua
Natura: Artigo
Lingua:Inglês
Pubblicazione: Research Network of Computational and Structural Biotechnology 2020
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7037582/
https://ncbi.nlm.nih.gov/pubmed/32123556
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csbj.2020.01.013
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