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Improved prediction of bacterial CRISPRi guide efficiency... | ResearchHub
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Improved prediction of bacterial CRISPRi guide efficiency through data integration and automated machine learning
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Authors
Yanying Yu
6 more
Yanying Yu
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Sandra Gawlitt
4 more
•
Lars Barquist
Published
May 28, 2022
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Preprint Server
Topics
Biology
Machine Learning
Computer Science
Engineering
Bioinformatics
Show all topics
DOI
10.1101/2022.05.27.493707
License
CC-BY
Other Formats
PDF
Supporters
Support the authors with ResearchCoin
Tip RSC
Preprint Server
Topics
Biology
Machine Learning
Computer Science
Engineering
Bioinformatics
Show all topics
DOI
10.1101/2022.05.27.493707
License
CC-BY
Other Formats
PDF