| Review of biological network data and its applications D Yu, MS Kim, G Xiao, TH Hwang Genomics & informatics 11 (4), 200, 2013 | 114 | 2013 |
| Enhanced construction of gene regulatory networks using hub gene information D Yu, J Lim, X Wang, F Liang, G Xiao BMC bioinformatics 18, 1-20, 2017 | 93 | 2017 |
| GeNeCK: a web server for gene network construction and visualization M Zhang, Q Li, D Yu, B Yao, W Guo, Y Xie, G Xiao BMC bioinformatics 20, 1-7, 2019 | 45 | 2019 |
| Predicting progression from mild cognitive impairment to Alzheimer's disease using longitudinal callosal atrophy SH Lee, AH Bachman, D Yu, J Lim, BA Ardekani, ... Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 2, 68-74, 2016 | 45 | 2016 |
| High-dimensional fused lasso regression using majorization–minimization and parallel processing D Yu, JH Won, T Lee, J Lim, S Yoon Journal of Computational and Graphical Statistics 24 (1), 121-153, 2015 | 45 | 2015 |
| Application of fused lasso logistic regression to the study of corpus callosum thickness in early Alzheimer's disease SH Lee, D Yu, AH Bachman, J Lim, BA Ardekani Journal of neuroscience methods 221, 78-84, 2014 | 30 | 2014 |
| An integrative somatic mutation analysis to identify pathways linked with survival outcomes across 19 cancer types S Park, SJ Kim, D Yu, S Pena-Llopis, J Gao, JS Park, B Chen, J Norris, ... Bioinformatics 32 (11), 1643-1651, 2016 | 26 | 2016 |
| Classification of spectral data using fused lasso logistic regression D Yu, SJ Lee, WJ Lee, SC Kim, J Lim, SW Kwon Chemometrics and Intelligent Laboratory Systems 142, 70-77, 2015 | 24 | 2015 |
| Some properties of generalized fused lasso and its applications to high dimensional data W Jang, J Lim, NA Lazar, JM Loh, D Yu Journal of the Korean Statistical Society 44, 352-365, 2015 | 16 | 2015 |
| Permutation test for incomplete paired data with application to cDNA microarray data D Yu, J Lim, F Liang, K Kim, BS Kim, W Jang Computational Statistics & Data Analysis 56 (3), 510-521, 2012 | 15 | 2012 |
| COEX-Seq: convert a variety of measurements of gene expression in RNA-Seq SC Kim, D Yu, SB Cho Genomics & informatics 16 (4), 2018 | 13 | 2018 |
| Statistical completion of a partially identified graph with applications for the estimation of gene regulatory networks D Yu, W Son, J Lim, G Xiao Biostatistics 16 (4), 670-685, 2015 | 13 | 2015 |
| Regression shrinkage and grouping of highly correlated predictors with HORSES W Jang, J Lim, NA Lazar, JM Loh, D Yu arXiv preprint arXiv:1302.0256, 2013 | 12 | 2013 |
| Easily parallelizable and distributable class of algorithms for structured sparsity, with optimal acceleration S Ko, D Yu, JH Won Journal of Computational and Graphical Statistics 28 (4), 821-833, 2019 | 11 | 2019 |
| Comparative study of computational algorithms for the Lasso with high-dimensional, highly correlated data B Kim, D Yu, JH Won Applied Intelligence 48, 1933-1952, 2018 | 8 | 2018 |
| An empirical comparison of the CUSUM and the FLSA for change points detection† G Lee, W Son, S Lee, D Yu The Korean Data & Information Science Society 32 (6), 1317-1328, 2021 | 7 | 2021 |
| Comparative study of time series anomaly detection based on generative deep learning models† J Lee, S Cho, D Yu The Korean Data & Information Science Society 34 (3), 377-394, 2023 | 6 | 2023 |
| The economic resilience of a city: the effect of relatedness on the survival of amenity shops during the COVID-19 pandemic B Jun, C Jara-Figueroa, D Yu Cambridge Journal of Regions, Economy and Society 15 (3), 551-573, 2022 | 6 | 2022 |
| Comparison study of synthetic data generation methods for credit card transaction data† H Jung, Y Cho, G Ko, J Song, D Yu The Korean Data & Information Science Society 34 (1), 49-72, 2023 | 5 | 2023 |
| Short-term forecasting for sea surface temperature based on tidal observatory observations † H Park, S Lee, EJ Lee, Y Cho, YS Park, J Lee, D Yu The Korean Data & Information Science Society 31 (2), 255-271, 2020 | 5 | 2020 |
Johan LimStatistics, Seoul National UniversityVerified email at snu.ac.kr
