Parameter estimation in the spatial auto-logistic model with working independent subblocks. - Johan Lim; Kiseop Lee; Donghyeon Yu; Haiyan Liu; Michael Sherman (Comput. Stat. Data Anal., 2012)

Permutation test for incomplete paired data with application to cDNA microarray data. - Donghyeon Yu; Johan Lim; Feng Liang; Kyunga Kim; Byung Soo Kim; Woncheol Jang (Comput. Stat. Data Anal., 2012)

A fast algorithm to sample the number of vertexes and the area of the random convex hull on the unit square. - Chi Tim Ng; Johan Lim; Kyeong Eun Lee; Donghyeon Yu; Sujung Choi (Comput. Stat., 2014)

An integrative somatic mutation analysis to identify pathways linked with survival outcomes across 19 cancer types. - Sunho Park; Seung-Jun Kim 002; Donghyeon Yu; Samuel Peña-Llopis; Jianjiong Gao; Jinsuk Park; Beibei Chen; Jessie Norris; Xinlei Wang 001; Min Chen 014; Min-Su Kim; Jeongsik Yong; et al. (Bioinform., 2016)

Enhanced construction of gene regulatory networks using hub gene information. - Donghyeon Yu; Johan Lim; Xinlei Wang 001; Faming Liang; Guanghua Xiao (BMC Bioinform., 2017)

Comparative study of computational algorithms for the Lasso with high-dimensional, highly correlated data. - Baekjin Kim; Donghyeon Yu; Joong-Ho Won (Appl. Intell., 2018)

A peeling algorithm for multiple testing on a random field. - Joungyoun Kim; Donghyeon Yu; Johan Lim; Joong-Ho Won (Comput. Stat., 2018)

Fused lasso regression for identifying differential correlations in brain connectome graphs. - Donghyeon Yu; Sang Han Lee; Johan Lim; Guanghua Xiao; Richard Cameron Craddock; Bharat B. Biswal (Stat. Anal. Data Min., 2018)

GeNeCK: a web server for gene network construction and visualization. - Minzhe Zhang; Qiwei Li 001; Donghyeon Yu; Bo Yao; Wei Guo; Yang Xie; Guanghua Xiao (BMC Bioinform., 2019)

Comparative Study of CUDA GPU Implementations in Python With the Fast Iterative Shrinkage-Thresholding Algorithm for LASSO. - Younsang Cho; Jaeoh Kim; Donghyeon Yu (IEEE Access, 2022)

An efficient parallel block coordinate descent algorithm for large-scale precision matrix estimation using graphics processing units. - Young-Geun Choi; Seunghwan Lee; Donghyeon Yu (Comput. Stat., 2022)

Sparse Partial Correlation Estimation With Scaled Lasso and Its GPU-Parallel Algorithm. - Younsang Cho; Seunghwan Lee; Jaeoh Kim; Donghyeon Yu (IEEE Access, 2023)

Technological Leadership in Industry 4.0: A Comparison Between Manufacturing and ICT Sectors Among Korean Firms. - Bogang Jun; Seung Hwan Kim; Hyoji Choi; Jeong hwan Jeon; Donghyeon Yu (IEEE Access, 2023)

An efficient GPU-parallel coordinate descent algorithm for sparse precision matrix estimation via scaled lasso. - Seunghwan Lee; Sang Cheol Kim; Donghyeon Yu (Comput. Stat., 2023)

Synthetic data generation method providing enhanced covariance matrix estimation. - Seungkyu Kim; Johan Lim; Donghyeon Yu (Comput. Stat., 2025)