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Yongin Choi

Showing results (1-10 of 16) with videos related to

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Transboundary and Emerging Diseases|May 27, 2026
Modeling the Spatiotemporal Spread and Control of African Swine Fever in the Republic of Korea Using a Patch-Based Stochastic FrameworkChangdae Son, Yongin Choi, Hyojung Lee
Genome Biology|February 21, 2023
siVAE: interpretable deep generative models for single-cell transcriptomesYongin Choi, Ruoxin Li, Gerald Quon
Scientific Reports|December 9, 2025
Estimation of undetected asymptomatic infections of COVID-19: a mathematical modeling approachYongin Choi, Pilwon Kim, Chang Hyeong Lee
Biorxiv : the Preprint Server for Biology|January 30, 2023
Biophysical modeling with variational autoencoders for bimodal, single-cell RNA sequencing dataMaria Carilli, Gennady Gorin, Yongin Choi, et al.
Frontiers in Public Health|September 29, 2022
The economic impact of COVID-19 interventions: A mathematical modeling approachJung Eun Kim, Heejin Choi, Yongin Choi, et al.
Nature Methods|July 25, 2024
Biophysical modeling with variational autoencoders for bimodal, single-cell RNA sequencing dataMaria Carilli, Gennady Gorin, Yongin Choi, et al.
Frontiers in Veterinary Science|August 8, 2024
Identifying risk clusters for African swine fever in Korea by developing statistical modelsKyeong Tae Ko, Janghun Oh, Changdae Son, et al.
International Journal of Environmental Research and Public Health|October 17, 2020
Assessment of Social Distancing for Controlling COVID-19 in Korea: An Age-Structured Modeling ApproachYongin Choi, James Slghee Kim, Heejin Choi, et al.
Biorxiv : the Preprint Server for Biology|June 12, 2025
sciLaMA: A Single-Cell Representation Learning Framework to Leverage Prior Knowledge from Large Language ModelsHongru Hu, Shuwen Zhang, Yongin Choi, et al.
Frontiers in Public Health|March 8, 2024
Corrigendum: Detection of COVID-19 epidemic outbreak using machine learningGiphil Cho, Jeong Rye Park, Yongin Choi, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Transboundary and Emerging Diseases|May 27, 2026
Modeling the Spatiotemporal Spread and Control of African Swine Fever in the Republic of Korea Using a Patch-Based Stochastic FrameworkChangdae Son, Yongin Choi, Hyojung Lee
Genome Biology|February 21, 2023
siVAE: interpretable deep generative models for single-cell transcriptomesYongin Choi, Ruoxin Li, Gerald Quon
Scientific Reports|December 9, 2025
Estimation of undetected asymptomatic infections of COVID-19: a mathematical modeling approachYongin Choi, Pilwon Kim, Chang Hyeong Lee
Biorxiv : the Preprint Server for Biology|January 30, 2023
Biophysical modeling with variational autoencoders for bimodal, single-cell RNA sequencing dataMaria Carilli, Gennady Gorin, Yongin Choi, et al.
Frontiers in Public Health|September 29, 2022
The economic impact of COVID-19 interventions: A mathematical modeling approachJung Eun Kim, Heejin Choi, Yongin Choi, et al.
Nature Methods|July 25, 2024
Biophysical modeling with variational autoencoders for bimodal, single-cell RNA sequencing dataMaria Carilli, Gennady Gorin, Yongin Choi, et al.
Frontiers in Veterinary Science|August 8, 2024
Identifying risk clusters for African swine fever in Korea by developing statistical modelsKyeong Tae Ko, Janghun Oh, Changdae Son, et al.
International Journal of Environmental Research and Public Health|October 17, 2020
Assessment of Social Distancing for Controlling COVID-19 in Korea: An Age-Structured Modeling ApproachYongin Choi, James Slghee Kim, Heejin Choi, et al.
Biorxiv : the Preprint Server for Biology|June 12, 2025
sciLaMA: A Single-Cell Representation Learning Framework to Leverage Prior Knowledge from Large Language ModelsHongru Hu, Shuwen Zhang, Yongin Choi, et al.
Frontiers in Public Health|March 8, 2024
Corrigendum: Detection of COVID-19 epidemic outbreak using machine learningGiphil Cho, Jeong Rye Park, Yongin Choi, et al.
Pageof 2