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Scientific Reports|May 20, 2021
Prediction of population behavior of Listeria monocytogenes in food using machine learning and a microbial growth and survival databaseSatoko Hiura, Shige Koseki, Kento KoyamaJournal of Theoretical Biology|May 13, 2021
Application of growth rate from kinetic model to calculate stochastic growth of a bacteria population at low contamination levelKento Koyama, Satoko Hiura, Hiroki Abe, et al.Food Microbiology|June 17, 2020
Transforming kinetic model into a stochastic inactivation model: Statistical evaluation of stochastic inactivation of individual cells in a bacterial populationSatoko Hiura, Hiroki Abe, Kento Koyama, et al.Frontiers in Microbiology|July 12, 2021
Bayesian Generalized Linear Model for Simulating Bacterial Inactivation/Growth Considering Variability and UncertaintySatoko Hiura, Hiroki Abe, Kento Koyama, et al.Journal of Microbiological Methods|November 14, 2021
Is skipping the definition of primary and secondary models possible? Prediction of Escherichia coli O157 growth by machine learningKento Koyama, Kyosuke Kubo, Satoko Hiura, et al.Molecular Breeding : New Strategies in Plant Improvement|October 28, 2025
Identification of a common major quantitative trait locus controlling onion bulb weight and development of molecular markers for bulb weight selectionDaisuke Sekine, Satoshi Oku, Utako Yamanouchi, et al.Pageof 1