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Biostatistics (Oxford, England)
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August 13, 2011
Inference for discretely observed stochastic kinetic networks with applications to epidemic modeling
Boseung Choi, Grzegorz A Rempala
Spatial Statistics
|
December 13, 2021
An interaction Neyman-Scott point process model for coronavirus disease-19
Jaewoo Park, Won Chang, Boseung Choi
Methods in Molecular Biology (Clifton, N.J.)
|
December 10, 2021
Beyond the Michaelis-Menten: Bayesian Inference for Enzyme Kinetic Analysis
Hyukpyo Hong, Boseung Choi, Jae Kyoung Kim
Pharmaceutics
|
June 28, 2023
Immune-Modulating Lipid Nanomaterials for the Delivery of Biopharmaceuticals
Songhee Kim, Boseung Choi, Yoojin Kim, et al.
Plos One
|
February 12, 2026
Inferring structure and parameters of stochastic reaction networks with logistic regression
Boseung Choi, Hye-Won Kang, Grzegorz A Rempala
Scientific Reports
|
December 7, 2017
Beyond the Michaelis-Menten equation: Accurate and efficient estimation of enzyme kinetic parameters
Boseung Choi, Grzegorz A Rempala, Jae Kyoung Kim
Mathematical Biosciences
|
April 7, 2015
Estimating epidemic parameters: Application to H1N1 pandemic data
Elissa J Schwartz, Boseung Choi, Grzegorz A Rempala
Journal of Environmental Science and Health. Part C, Environmental Carcinogenesis & Ecotoxicology Reviews
|
December 7, 2019
Harmful algal blooms and liver diseases: focusing on the areas near the four major rivers in South Korea
Seungjun Lee, Jinnam Kim, Boseung Choi, et al.
Interface Focus
|
January 4, 2020
Survival dynamical systems: individual-level survival analysis from population-level epidemic models
Wasiur R KhudaBukhsh, Boseung Choi, Eben Kenah, et al.
Bioinformatics (Oxford, England)
|
August 27, 2021
Hierarchical Bayesian models of transcriptional and translational regulation processes with delays
Mark Jayson Cortez, Hyukpyo Hong, Boseung Choi, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 24) with videos related to
Sort By:
Page
of 3
Biostatistics (Oxford, England)
|
August 13, 2011
Inference for discretely observed stochastic kinetic networks with applications to epidemic modeling
Boseung Choi, Grzegorz A Rempala
Spatial Statistics
|
December 13, 2021
An interaction Neyman-Scott point process model for coronavirus disease-19
Jaewoo Park, Won Chang, Boseung Choi
Methods in Molecular Biology (Clifton, N.J.)
|
December 10, 2021
Beyond the Michaelis-Menten: Bayesian Inference for Enzyme Kinetic Analysis
Hyukpyo Hong, Boseung Choi, Jae Kyoung Kim
Pharmaceutics
|
June 28, 2023
Immune-Modulating Lipid Nanomaterials for the Delivery of Biopharmaceuticals
Songhee Kim, Boseung Choi, Yoojin Kim, et al.
Plos One
|
February 12, 2026
Inferring structure and parameters of stochastic reaction networks with logistic regression
Boseung Choi, Hye-Won Kang, Grzegorz A Rempala
Scientific Reports
|
December 7, 2017
Beyond the Michaelis-Menten equation: Accurate and efficient estimation of enzyme kinetic parameters
Boseung Choi, Grzegorz A Rempala, Jae Kyoung Kim
Mathematical Biosciences
|
April 7, 2015
Estimating epidemic parameters: Application to H1N1 pandemic data
Elissa J Schwartz, Boseung Choi, Grzegorz A Rempala
Journal of Environmental Science and Health. Part C, Environmental Carcinogenesis & Ecotoxicology Reviews
|
December 7, 2019
Harmful algal blooms and liver diseases: focusing on the areas near the four major rivers in South Korea
Seungjun Lee, Jinnam Kim, Boseung Choi, et al.
Interface Focus
|
January 4, 2020
Survival dynamical systems: individual-level survival analysis from population-level epidemic models
Wasiur R KhudaBukhsh, Boseung Choi, Eben Kenah, et al.
Bioinformatics (Oxford, England)
|
August 27, 2021
Hierarchical Bayesian models of transcriptional and translational regulation processes with delays
Mark Jayson Cortez, Hyukpyo Hong, Boseung Choi, et al.
Page
of 3