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Hang J Kim

Showing results (1-10 of 13) with videos related to

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Plos Computational Biology|February 18, 2017
graph-GPA: A graphical model for prioritizing GWAS results and investigating pleiotropic architectureDongjun Chung, Hang J Kim, Hongyu Zhao
Biometrics|August 9, 2023
Bayesian causal inference for observational studies with missingness in covariates and outcomesHuaiyu Zang, Hang J Kim, Bin Huang, et al.
Bioinformatics (Oxford, England)|February 13, 2018
Improving SNP prioritization and pleiotropic architecture estimation by incorporating prior knowledge using graph-GPAHang J Kim, Zhenning Yu, Andrew Lawson, et al.
Statistics in Medicine|September 21, 2018
Estimating heterogeneous treatment effects for latent subgroups in observational studiesHang J Kim, Bo Lu, Edward J Nehus, et al.
Technometrics : a Journal of Statistics for the Physical, Chemical, and Engineering Sciences|December 24, 2025
Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological ExperimentsYoungdeok Hwang, Hang J Kim, Won Chang, et al.
Plos One|January 9, 2018
ShinyGPA: An interactive visualization toolkit for investigating pleiotropic architecture using GWAS datasetsEmma Kortemeier, Paula S Ramos, Kelly J Hunt, et al.
Biometrics|July 27, 2022
A Bayesian multivariate mixture model for high throughput spatial transcriptomicsCarter Allen, Yuzhou Chang, Brian Neelon, et al.
Scientific Reports|September 1, 2025
Evaluating the utility of data integration with synthetic data and statistical matchingEunjeong Ji, Jung Hun Ohn, Hyemin Jo, et al.
Frontiers in Genetics|July 28, 2023
graph-GPA 2.0: improving multi-disease genetic analysis with integration of functional annotation dataQiaolan Deng, Arkobrato Gupta, Hyeongseon Jeon, et al.
Nature Communications|January 16, 2020
Author Correction: FRQ-CK1 interaction determines the period of circadian rhythms in NeurosporaXiao Liu, Ahai Chen, Angélica Caicedo-Casso, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Plos Computational Biology|February 18, 2017
graph-GPA: A graphical model for prioritizing GWAS results and investigating pleiotropic architectureDongjun Chung, Hang J Kim, Hongyu Zhao
Biometrics|August 9, 2023
Bayesian causal inference for observational studies with missingness in covariates and outcomesHuaiyu Zang, Hang J Kim, Bin Huang, et al.
Bioinformatics (Oxford, England)|February 13, 2018
Improving SNP prioritization and pleiotropic architecture estimation by incorporating prior knowledge using graph-GPAHang J Kim, Zhenning Yu, Andrew Lawson, et al.
Statistics in Medicine|September 21, 2018
Estimating heterogeneous treatment effects for latent subgroups in observational studiesHang J Kim, Bo Lu, Edward J Nehus, et al.
Technometrics : a Journal of Statistics for the Physical, Chemical, and Engineering Sciences|December 24, 2025
Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological ExperimentsYoungdeok Hwang, Hang J Kim, Won Chang, et al.
Plos One|January 9, 2018
ShinyGPA: An interactive visualization toolkit for investigating pleiotropic architecture using GWAS datasetsEmma Kortemeier, Paula S Ramos, Kelly J Hunt, et al.
Biometrics|July 27, 2022
A Bayesian multivariate mixture model for high throughput spatial transcriptomicsCarter Allen, Yuzhou Chang, Brian Neelon, et al.
Scientific Reports|September 1, 2025
Evaluating the utility of data integration with synthetic data and statistical matchingEunjeong Ji, Jung Hun Ohn, Hyemin Jo, et al.
Frontiers in Genetics|July 28, 2023
graph-GPA 2.0: improving multi-disease genetic analysis with integration of functional annotation dataQiaolan Deng, Arkobrato Gupta, Hyeongseon Jeon, et al.
Nature Communications|January 16, 2020
Author Correction: FRQ-CK1 interaction determines the period of circadian rhythms in NeurosporaXiao Liu, Ahai Chen, Angélica Caicedo-Casso, et al.
Pageof 2