Statistical Methodology
* corresponding author
Sun, H.*, Keener, R. and Kim, D. (2010) Hybrid Bootstrap for Mapping Quantitative Trait Loci, Statistics and Probability Letters 80(15-16), p.1253-1259. [Link]
Sun, H. and Li, H. (2010) A Bayesian Approach for Network-constrained Regularization for High-dimensional Regression, International Journal of Systems and Synthetic Biology 1(2), p.255-272. [Link]
Sun, H.* (2011) Hybrid Regions for Post-change Mean in a Sequence of Normal Variables, Journal of Statistical Computation and Simulation 81(2), p.221-231. [Link]
Sun, H. and Wang, S. (2012) Penalized Logistic Regression for High-dimensional DNA Methylation Data with Case-Control Studies, Bioinformatics 28(10), p.1368-1375. [Link]
Sun, H. and Li, H. (2012) Robust Gaussian Graphical Modeling via l1 Penalization, Biometrics 68(4), p.1197-1206. [Link]
Sun, H. and Wang, S. (2013) Network-based Regularization for Matched Case-Control Analysis of High-dimensional DNA Methylation Data, Statistics in Medicine 32(12), p.2127-2139. [Link]
Lee, K., Sun, H. and Cho, Y. (2014) Estimation of the Exponential Distribution based on Multiply Type I Hybrid Censored Sample, Journal of the Korean Data and Information Science Society 25(3), p.633-641.
Sun, H., Lin, W., Feng R. and Li, H. (2014) Network-Regularized High-Dimensional Cox Regression for Analysis of Genomic Data, Statistica Sinica 24(3), p.1433-1459. [Link]
Cho, Y., Sun, H. and Lee, K. (2014) An Estimation of the Entropy for a Rayleigh Distribution Based on Doubly-Generalized Type-II Hybrid Censored Samples, Entropy 16(7), p.3655-3669. [Link]
Sun, H. and Wang, S. (2014) A Power Set Based Statistical Selection Procedure to Locate Susceptible Rare Variants Associated with Complex Diseases with Sequencing Data, Bioinformatics 30(16), p.2317-2323. [Link]
Cho, Y., Sun, H. and Lee, K. (2015) Estimating the Entropy of a Weibull Distribution under Generalized Progressive Hybrid Censoring, Entropy 17(1), p.102-122. [Link]
Cho, Y., Sun, H. and Lee, K. (2015) Exact Likelihood Inference for an Exponential Parameter under Generalized Progressive Hybrid Censoring Scheme, Statistical Methodology 23, p.18-34. [Link]
Kim, S., Lee, K. and Sun, H.* (2015) Statistical Selection Strategy for Risk and Protective Rare Variants Associated with Complex Traits, Journal of Computational Biology 22(11), p.1034-1043. [Link]
Keener, R. and Sun, H. (2015) Inconsistent Hybrid Bootstrap Confidence Regions, Statistics and Probability Letters 107, p.115-121. [Link]
Lee, K., Sun, H. and Cho, Y. (2016) Exact likelihood inference of the exponential parameter under generalized Type II progressive hybrid censoring, Journal of the Korean Statistical Society 45(1), p.123-136. [Link]
Kim, K., Choi, J. and Sun, H.* (2016) Network-based regularization for analysis of high-dimensional genomic data with group structure, The Korean Journal of Applied Statistics 29(6), p.1117-1128.
Ko, H., Kim, K. and Sun, H.* (2016) Multiple group testing procedures for analysis of high-dimensional genomic data, Genomics and Informatics 14(4), p.187-195. [Link]
Lee, G. and Sun, H.* (2017) Selection Probability for Rare Variant Association Studies, Journal of Computational Biology 24(5), p.400-411. [Link]
Sun, H., Wang, Y., Chen, Y., Li, Y. and Wang, S. (2017) pETM: a penalized Exponential Tilt Model for analysis of correlated high-dimensional DNA methylation data, Bioinformatics 33(12), p.1765-1772. [Link]
Choi, J., Kim, K. and Sun, H.* (2018) New variable selection strategy for analysis of high-dimensional DNA methylation data, Journal of Bioinformatics and Computational Biology 16(4), 1850010. [Link]
Kim, K. and Sun, H.* (2019) Incorporating genetic networks into case-control association studies with high-dimensional DNA methylation data, BMC Bioinformatics 20:510. [Link]
Oh, M., Kim, K. and Sun, H.* (2020) Covariance Thresholding to Detect Differentially Co-expressed Genes from Microarray Gene Expression Data, Journal of Bioinformatics and Computational Biology 18(1) 2050002 [Link]
Kim, K., Koo, J. and Sun, H.* (2020) An empirical threshold of selection probability for analysis of high-dimensional correlated data, Journal of Statistical Computation and Simulation 90(9) p.1606-1617 [Link]
Kim, K. and Sun, H.* (2020) Selection Probability of Multivariate Regularization to Identify Pleiotropic Variants in Genetic Association Studies, Communications for Statistical Applications and Methods 27(5), p.535-546 [Link]
Park, S., Kim, K. and Sun, H.* (2022) Comparison of covariance thresholding methods in gene set analysis, Communications for Statistical Applications and Methods 29(5), p.591-601 [Link]
Kim, K., Jun, T., Ha, B., Wang, S. and Sun, H.* (2023) New statistical selection method for pleiotropic variants associated with both quantitative and qualitative traits, BMC Bioinformatics 24:381. [Link]
Liang, X. and Sun, H.* (2023) Weighted selection probability to prioritize susceptible rare variants in multi-phenotype association studies with application to a soybean genetic data set, Journal of Computational Biology 30(10), p.1075-1088. [Link]
Huang, D. Kim, R. and Sun, H.* (2024) Resampling-based methods for the error control of variable selection in high-dimensional genomic data, Journal of the Korean Data and Information Science Society 35(5), p.691-702. [Link]
Huang, D. Jo, G. Kim, K. and Sun, H.* (2025) Weighted overlapping group lasso for integrating prior network knowledge into gene set analysis, BMC Bioinformatics 26:226. [Link]
Biological Applications
Jeong, D., Kim, J., Nam, J., Sun, H., Lee, Y., Lee, T., Aguiar, R. and Lee, S. (2015) MicroRNA-124 links p53 to the NF-kB pathway in B cell lymphomas, Leukemia 29, p.1868-1874. [Link]
Cho, J., Chun H., Lee, J., Lee, J., Cheong, K., Jung, Y., Woo, T., Yoon, M., Oh, A., Kang, S., Lee, C., Sun, H., Hwang, J., Song, G., and Park, B. (2016) Prevention effect of rare ginsenosides against stress-hormone induced MTOC amplification, Oncotarget 7(23), p.35144-35158. [Link]
Woo, T., Yoon, M., Hong, S., Choi, J., Ha, N., Sun, H. and Park, B. (2017) Anti-cancer effect of novel PAK1 inhibitor via induction of PUMA-mediated cell death and p21-mediated cell cycle arrest, Oncotarget 8(14), p.23690-23701. [Link]
Lee, S., Rho, J., Lee, S., Chung, W., Oh, Y., Kim, J., Yoo, S., Kwon, W., Bae, J., Seo, S., Sun, H., Kim, H., Yoo, Y. (2018) Dietary fat-associated osteoarthritic chondrocytes gain resistance to lipotoxicity through PKCK2/STAMP2/FSP27, Bone Research 6, 20. [Link]
Nam, J., Kim, D., Kim, E., Kwak, B., Ko, M., Oh, A., Park, B., Kim, Y., Kim, A., Sun, H., Jung, Y., Lee, J., Shin, H., Park, I., Song, D., Jeong, J., Lee, Y., and Kim., S. (2019) Disruption of the Myc-PDE4B regulatory circuitry impairs B-cell lymphoma survival, Leukemia 33, p.2912–2923. [Link]
Kim, C., Lee, H., Devaraj, V., Kim, W., Lee, Y., Kim, Y., Jeong, N., Choi, E., Baek, S., Han, D., Sun, H. and Oh, J. (2020) Hierarchical Cluster Analysis of Medical Chemicals Detected by a Bacteriophage-Based Colorimetric Sensor Array, Nanomaterials 10(1), 121. [Link]
Lee, H., Jeong, S., Yu, Y., Kang, J., Sun, H., Rhee, J., and Kim, Y. (2020) Risk of metastatic pheochromocytoma and paraganglioma in SDHx mutation carriers: a systematic review and updated meta-analysis, Journal of Medical Genetics 57(4) p.217-225 [Link]
Pak, K., Oh, S., Goh, T., Heo, H., Han, M., Jeong, D., Lee, C., Sun, H., Kang, J., Choi, S., Lee, S., Kwon, E., Kang, J. and Kim, Y. (2020) A User-Friendly, Web-Based Integrative Tool (ESurv) for Survival Analysis: Development and Validation Study, Journal of Medical Internet Research 22(5):e16084 [Link]
Seo, E., Kim, K., Jun, T., Choi, J., Kim, S., Muñoz-Amatriaín, M., Sun, H., Ha, B. (2020) Population Structure and Genetic Diversity in Korean Cowpea Germplasm Based on SNP Markers, Plants 9(9), 1190 [Link]
Seo, E., Kim, K., Kang, R., Kim, G., Park, A., Kim, W., Sun, H., Ha, B. (2020) Genome-Wide Association Study for Flowering Time in Korean Cowpea Germplasm, Plant Breeding and Biotechnology 8(4), p.413-425 [Link]
Zou, K., Kim, K., Kim, K., Kang, D., Park, Y., Sun, H., Ha, B., Ha, J., Jun, T. (2021) Genetic Diversity and Genome-Wide Association Study of Seed Aspect Ratio Using a High-Density SNP Array in Peanut, Genes 12(1), 2 [Link]
Representative Publications
Sun, H. and Wang, S. (2012) Penalized Logistic Regression for High-dimensional DNA Methylation Data with Case-Control Studies, Bioinformatics 28(10), p.1368-1375. [Link]
Sun, H. and Li, H. (2012) Robust Gaussian Graphical Modeling via l1 Penalization, Biometrics 68(4), p.1197-1206. [Link]
Sun, H. and Wang, S. (2013) Network-based Regularization for Matched Case-Control Analysis of High-dimensional DNA Methylation Data, Statistics in Medicine 32(12), p.2127-2139. [Link]
Sun, H., Lin, W., Feng R. and Li, H. (2014) Network-Regularized High-Dimensional Cox Regression for Analysis of Genomic Data, Statistica Sinica 24(3), p.1433-1459. [Link]
Sun, H. and Wang, S. (2014) A Power Set Based Statistical Selection Procedure to Locate Susceptible Rare Variants Associated with Complex Diseases with Sequencing Data, Bioinformatics 30(16), p.2317-2323. [Link]
Sun, H., Wang, Y., Chen, Y., Li, Y. and Wang, S. (2017) pETM: a penalized Exponential Tilt Model for analysis of correlated high-dimensional DNA methylation data, Bioinformatics 33(12), p.1765-1772. [Link]
Kim, K. and Sun, H. (2019) Incorporating genetic networks into case-control association studies with high-dimensional DNA methylation data, BMC Bioinformatics 20:510. [Link]
Kim, K., Jun, T., Ha, B., Wang, S. and Sun, H. (2023) New statistical selection method for pleiotropic variants associated with both quantitative and qualitative traits, BMC Bioinformatics 24:381. [Link]
Huang, D. Jo, G. Kim, K. and Sun, H. (2025) Weighted overlapping group lasso for integrating prior network knowledge into gene set analysis, BMC Bioinformatics 26:226. [Link]