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Seongoh Park

Showing results (1-10 of 26) with videos related to

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Journal of Applied Statistics|October 10, 2022
An overview of heavy-tail extensions of multivariate Gaussian distribution and their relationsSeongoh Park, Johan Lim
Computational Statistics & Data Analysis|April 22, 2024
Variable Selection in Bayesian Multiple Instance Regression using Shotgun Stochastic SearchSeongoh Park, Joungyoun Kim, Xinlei Wang, et al.
Computational Statistics|August 5, 2021
Permutation based testing on covariance separabilitySeongoh Park, Johan Lim, Xinlei Wang, et al.
Journal of Applied Statistics|June 16, 2022
Clustering of longitudinal interval-valued data via mixture distribution under covariance separabilitySeongoh Park, Johan Lim, Hyejeong Choi, et al.
BMC Bioinformatics|November 8, 2022
Multiple instance neural networks based on sparse attention for cancer detection using T-cell receptor sequencesYounghoon Kim, Tao Wang, Danyi Xiong, et al.
Statistical Methods in Medical Research|May 14, 2020
Bayesian multiple instance regression for modeling immunogenic neoantigensSeongoh Park, Xinlei Wang, Johan Lim, et al.
BMC Medical Informatics and Decision Making|August 12, 2025
Risk factors for tuberculosis treatment outcomes: a statistical learning-based exploration using the SINAN database with incomplete observationsNguyen Ky Phat, Yoonah Lee, Dinh Hoa Vu, et al.
Journal of Proteome Research|March 7, 2025
EasyPubPlot: A Shiny Web Application for Rapid Omics Data Exploration and VisualizationNguyen Tran Nam Tien, Nguyen Quang Thu, Dong Hyun Kim, et al.
ACS Central Science|August 31, 2018
<i>In Vitro</i> Tracking of Intracellular Metabolism-Derived Cancer Volatiles via Isotope LabelingDong-Kyu Lee, Euiyeon Na, Seongoh Park, et al.
Plos One|April 1, 2026
Voting intentions during the later stage of the COVID-19 pandemic: The roles of risk perception and performance evaluations in South KoreaSoo Yun Kim, Gyeongmin Kim, Seongoh Park, et al.
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
Journal of Applied Statistics|October 10, 2022
An overview of heavy-tail extensions of multivariate Gaussian distribution and their relationsSeongoh Park, Johan Lim
Computational Statistics & Data Analysis|April 22, 2024
Variable Selection in Bayesian Multiple Instance Regression using Shotgun Stochastic SearchSeongoh Park, Joungyoun Kim, Xinlei Wang, et al.
Computational Statistics|August 5, 2021
Permutation based testing on covariance separabilitySeongoh Park, Johan Lim, Xinlei Wang, et al.
Journal of Applied Statistics|June 16, 2022
Clustering of longitudinal interval-valued data via mixture distribution under covariance separabilitySeongoh Park, Johan Lim, Hyejeong Choi, et al.
BMC Bioinformatics|November 8, 2022
Multiple instance neural networks based on sparse attention for cancer detection using T-cell receptor sequencesYounghoon Kim, Tao Wang, Danyi Xiong, et al.
Statistical Methods in Medical Research|May 14, 2020
Bayesian multiple instance regression for modeling immunogenic neoantigensSeongoh Park, Xinlei Wang, Johan Lim, et al.
BMC Medical Informatics and Decision Making|August 12, 2025
Risk factors for tuberculosis treatment outcomes: a statistical learning-based exploration using the SINAN database with incomplete observationsNguyen Ky Phat, Yoonah Lee, Dinh Hoa Vu, et al.
Journal of Proteome Research|March 7, 2025
EasyPubPlot: A Shiny Web Application for Rapid Omics Data Exploration and VisualizationNguyen Tran Nam Tien, Nguyen Quang Thu, Dong Hyun Kim, et al.
ACS Central Science|August 31, 2018
<i>In Vitro</i> Tracking of Intracellular Metabolism-Derived Cancer Volatiles via Isotope LabelingDong-Kyu Lee, Euiyeon Na, Seongoh Park, et al.
Plos One|April 1, 2026
Voting intentions during the later stage of the COVID-19 pandemic: The roles of risk perception and performance evaluations in South KoreaSoo Yun Kim, Gyeongmin Kim, Seongoh Park, et al.
Pageof 3