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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...
Sparad:
| I publikationen: | Comput Struct Biotechnol J |
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| Huvudupphovsmän: | , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Research Network of Computational and Structural Biotechnology
2020
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| Ämnen: | |
| Länkar: | 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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