Robust analysis of related samples under the presence of population substructure. - Sungkyoung Choi; Sungho Won (BIBM Workshops, 2011)

'Location, Location, Location': a spatial approach for rare variant analysis and an application to a study on non-syndromic cleft lip with or without cleft palate. - Heide Loehlein Fier; Sungho Won; Dmitry Prokopenko; Taofik AlChawa; Kerstin U. Ludwig; Rolf Fimmers; Edwin K. Silverman; Marcello Pagano; Elisabeth Mangold; Christoph Lange 003 (Bioinform., 2012)

FARVAT: a family-based rare variant association test. - Sungkyoung Choi; Sungyoung Lee 002; Sven Cichon; Markus M. Nöthen; Christoph Lange 003; Taesung Park; Sungho Won (Bioinform., 2014)

Family-based association analysis: a fast and efficient method of multivariate association analysis with multiple variants. - Sungho Won; Wonji Kim; Sungyoung Lee 002; Young Lee; Joohon Sung; Taesung Park (BMC Bioinform., 2015)

Conditional estimation of local pooled dispersion parameter in small-sample RNA-Seq data improves differential expression test. - Jungsoo Gim; Sungho Won; Taesung Park (J. Bioinform. Comput. Biol., 2016)

On the association analysis of CNV data: a fast and robust family-based association method. - Meiling Liu; Sanghoon Moon; Longfei Wang; Sulgi Kim; Yeon-Jung Kim; Mi Yeong Hwang; Young Jin Kim 003; Robert C. Elston; Bong-Jo Kim; Sungho Won (BMC Bioinform., 2017)

ONETOOL for the analysis of family-based big data. - Yeunjoo E. Song; Sungyoung Lee 002; Kyungtaek Park; Robert C. Elston; Hyeon-Jong Yang; Sungho Won (Bioinform., 2018)

Comparison of INDEL Calling Tools with Simulation Data and Real Short-Read Data. - Donghe Li; Wonji Kim; Longfei Wang; Kyong-Ah Yoon; Boyoung Park; Charny Park; Sun-Young Kong; Yongdeuk Hwang; Daehyun Baek; Eun Sook Lee; Sungho Won (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Phylogenetic tree-based microbiome association test. - Kang Jin Kim; Jaehyun Park; Sang-Chul Park; Sungho Won (Bioinform., 2020)

Primal path algorithm for compositional data analysis. - Jong-June Jeon; Yongdai Kim; Sungho Won; Hosik Choi (Comput. Stat. Data Anal., 2020)

Machine learning-based quantification for disease uncertainty increases the statistical power of genetic association studies. - Jun Young Park; Jang Jae Lee; Younghwa Lee; Dongsoo Lee; Jungsoo Gim; Lindsay A. Farrer; Kun Ho Lee; Sungho Won (Bioinform., 2023)

Genetic determinants of obesity in Korean populations: exploring genome-wide associations and polygenic risk scores. - Jinyeon Jo; Nayoung Ha; Yunmi Ji; Ahra Do; Je Hyun Seo; Bumjo Oh; Sungkyoung Choi; Eun Kyung Choe; Woojoo Lee; Jang Won Son; Sungho Won (Briefings Bioinform., 2024)

Multi-stream deep learning framework to predict mild cognitive impairment with Rey Complex Figure Test. - Junyoung Park; Eun Hyun Seo; Sunjun Kim; SangHak Yi; Kun Ho Lee; Sungho Won (CoRR, 2024)

Impact of linkage level on inferences from big data analyses in health and medical research: an empirical study. - Bora Lee; Young-Kyun Lee; Sung Han Kim; HyunJin Oh; Sungho Won; Suk-Yong Jang; Ye Jin Jeon; Bit-Na Yoo; Jean-Kyung Bak (BMC Medical Informatics Decis. Mak., 2024)

Robust phylogenetic tree-based microbiome association test using repeatedly measured data for composition bias. - Kangjin Kim; Sungho Won (BMC Bioinform., 2025)