
Keywords: machine learning
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Modeling CRISPR gene drives for suppression of invasive rodentsS. E. Champer, N. Oakes, R. Sharma, P. García-Díaz, J. Champer and P. W. Messer, bioRxiv, 2020.11.05.369942. 2020.![]() Here, we develop a high-fidelity model of an island population of invasive rodents that includes three types of suppression gene drive systems. The individual-based model is spatially explicit and allows for overlapping generations and a fluctuating population size. Our model ... Keywords: conservation, Ecology, gene drive synthetic, machine learning, modelling, models, resistance, rodents |

Contact
David O’Brochta
Foundation for the
National Institutes of Health
geneconvenevi@fnih.org
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