Prediction of off-target specificity and cell-specific fitness of CRISPR-Cas System using attention boosted deep learning and network-based gene feature

Qiao Liu; Di He; Lei Xie

doi:10.1371/journal.pcbi.1007480

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Open Access

Peer-reviewed

Research Article

Prediction of off-target specificity and cell-specific fitness of CRISPR-Cas System using attention boosted deep learning and network-based gene feature

Qiao Liu,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Writing – original draft, Writing – review & editing

Affiliation Department of Computer Science, Hunter College, The City University of New York, New York City, NY, United States of America
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Di He,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Writing – original draft, Writing – review & editing

Affiliation Ph.D. Program in Computer Science, The Graduate Center, The City University of New York, New York City, NY, United States of America

http://orcid.org/0000-0002-0908-9123

⨯
Lei Xie

Roles Conceptualization, Funding acquisition, Project administration, Resources, Supervision, Validation, Writing – original draft, Writing – review & editing

* E-mail: lei.xie@hunter.cuny.edu

Affiliations Department of Computer Science, Hunter College, The City University of New York, New York City, NY, United States of America, Ph.D. Program in Computer Science, The Graduate Center, The City University of New York, New York City, NY, United States of America, Ph.D. Program in Biochemistry and Biology, The Graduate Center, The City University of New York, New York City, NY, United States of America, Helen and Robert Appel Alzheimer’s Disease Research Institute, Feil Family Brain & Mind Research Institute, Weill Cornell Medicine, Cornell University, New York City, NY, United States of America
⨯

Prediction of off-target specificity and cell-specific fitness of CRISPR-Cas System using attention boosted deep learning and network-based gene feature

Qiao Liu,
Di He,
Lei Xie

Published: October 28, 2019
https://doi.org/10.1371/journal.pcbi.1007480

About the Authors

Qiao Liu

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Writing – original draft, Writing – review & editing

Affiliation Department of Computer Science, Hunter College, The City University of New York, New York City, NY, United States of America

Di He

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Writing – original draft, Writing – review & editing

Affiliation Ph.D. Program in Computer Science, The Graduate Center, The City University of New York, New York City, NY, United States of America

http://orcid.org/0000-0002-0908-9123

Lei Xie

Roles Conceptualization, Funding acquisition, Project administration, Resources, Supervision, Validation, Writing – original draft, Writing – review & editing

* E-mail: lei.xie@hunter.cuny.edu

Affiliations Department of Computer Science, Hunter College, The City University of New York, New York City, NY, United States of America, Ph.D. Program in Computer Science, The Graduate Center, The City University of New York, New York City, NY, United States of America, Ph.D. Program in Biochemistry and Biology, The Graduate Center, The City University of New York, New York City, NY, United States of America, Helen and Robert Appel Alzheimer’s Disease Research Institute, Feil Family Brain & Mind Research Institute, Weill Cornell Medicine, Cornell University, New York City, NY, United States of America

Competing Interests

The authors have declared that no competing interests exist.

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CRISPR
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Forecasting
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Deep learning
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Genomics
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Gene therapy
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Mammalian genomics
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Machine learning
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HL60 cells
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