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Identifying Context-specific Network Features for CRISPR-Cas9 Targeting Efficiency Using Accurate and Interpretable Deep Neural Network
Qiao Liu, Di He, Lei Xie
doi: https://doi.org/10.1101/505602
Qiao Liu
1Department of Computer Science, Hunter College, The City University of New York
Di He
2Ph.D. Program in Computer Science, The Graduate Center, The City University of New York
Lei Xie
1Department of Computer Science, Hunter College, The City University of New York
2Ph.D. Program in Computer Science, The Graduate Center, The City University of New York
3Ph.D. Program in Biochemistry, The Graduate Center, The City University of New York
Article usage
Posted December 24, 2018.
Identifying Context-specific Network Features for CRISPR-Cas9 Targeting Efficiency Using Accurate and Interpretable Deep Neural Network
Qiao Liu, Di He, Lei Xie
bioRxiv 505602; doi: https://doi.org/10.1101/505602
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