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SuPreMo: a computational tool for streamlining in silico perturbation using sequence-based predictive models
View ORCID ProfileKetrin Gjoni, View ORCID ProfileKatherine S. Pollard
doi: https://doi.org/10.1101/2023.11.03.565556
Ketrin Gjoni
1Gladstone Institute of Data Science and Biotechnology, San Francisco, CA 94158, USA
2Department of Epidemiology & Biostatistics, University of California, San Francisco, CA 94158, USA
Katherine S. Pollard
1Gladstone Institute of Data Science and Biotechnology, San Francisco, CA 94158, USA
2Department of Epidemiology & Biostatistics, University of California, San Francisco, CA 94158, USA
3Chan Zuckerberg Biohub, San Francisco, CA 94158, USA
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Posted November 05, 2023.
SuPreMo: a computational tool for streamlining in silico perturbation using sequence-based predictive models
Ketrin Gjoni, Katherine S. Pollard
bioRxiv 2023.11.03.565556; doi: https://doi.org/10.1101/2023.11.03.565556
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