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Seunggeun Lee

Showing results (1-10 of 108) with videos related to

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Biometrics|February 27, 2016
A novel random effect model for GWAS meta-analysis and its application to trans-ethnic meta-analysisJingchunzi Shi, Seunggeun Lee
Bioinformatics (Oxford, England)|September 24, 2025
PTL-PRS: an R package for transfer learning of polygenic risk scores with pseudovalidationBokeum Cho, Seunggeun Lee
Genetic Epidemiology|February 16, 2022
Integrating external controls in case-control studies improves power for rare-variant testsYatong Li, Seunggeun Lee
Genetic Epidemiology|November 8, 2020
Novel score test to increase power in association test by integrating external controlsYatong Li, Seunggeun Lee
Frontiers in Genetics|July 2, 2021
Scalable and Robust Regression Methods for Phenome-Wide Association Analysis on Large-Scale Biobank DataWenjian Bi, Seunggeun Lee
Journal of Multivariate Analysis|August 25, 2020
Asymptotic properties of principal component analysis and shrinkage-bias adjustment under the generalized spiked population modelRounak Dey, Seunggeun Lee
Bioinformatics (Oxford, England)|March 31, 2025
XPRS: a tool for interpretable and explainable polygenic risk scoreNa Yeon Kim, Seunggeun Lee
Cell Genomics|February 13, 2023
Genome-wide study on 72,298 individuals in Korean biobank data for 76 traitsKisung Nam, Jangho Kim, Seunggeun Lee
Bioinformatics (Oxford, England)|March 21, 2020
Fast and robust ancestry prediction using principal component analysisDaiwei Zhang, Rounak Dey, Seunggeun Lee
Biostatistics (Oxford, England)|December 29, 2019
Trans-ethnic meta-analysis of rare variants in sequencing association studiesJingchunzi Shi, Michael Boehnke, Seunggeun Lee
Pageof 11

Showing results (1-10 of 108) with videos related to

Sort By:
Pageof 11
Biometrics|February 27, 2016
A novel random effect model for GWAS meta-analysis and its application to trans-ethnic meta-analysisJingchunzi Shi, Seunggeun Lee
Bioinformatics (Oxford, England)|September 24, 2025
PTL-PRS: an R package for transfer learning of polygenic risk scores with pseudovalidationBokeum Cho, Seunggeun Lee
Genetic Epidemiology|February 16, 2022
Integrating external controls in case-control studies improves power for rare-variant testsYatong Li, Seunggeun Lee
Genetic Epidemiology|November 8, 2020
Novel score test to increase power in association test by integrating external controlsYatong Li, Seunggeun Lee
Frontiers in Genetics|July 2, 2021
Scalable and Robust Regression Methods for Phenome-Wide Association Analysis on Large-Scale Biobank DataWenjian Bi, Seunggeun Lee
Journal of Multivariate Analysis|August 25, 2020
Asymptotic properties of principal component analysis and shrinkage-bias adjustment under the generalized spiked population modelRounak Dey, Seunggeun Lee
Bioinformatics (Oxford, England)|March 31, 2025
XPRS: a tool for interpretable and explainable polygenic risk scoreNa Yeon Kim, Seunggeun Lee
Cell Genomics|February 13, 2023
Genome-wide study on 72,298 individuals in Korean biobank data for 76 traitsKisung Nam, Jangho Kim, Seunggeun Lee
Bioinformatics (Oxford, England)|March 21, 2020
Fast and robust ancestry prediction using principal component analysisDaiwei Zhang, Rounak Dey, Seunggeun Lee
Biostatistics (Oxford, England)|December 29, 2019
Trans-ethnic meta-analysis of rare variants in sequencing association studiesJingchunzi Shi, Michael Boehnke, Seunggeun Lee
Pageof 11