Donghyeon Yu
Cited by
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Review of biological network data and its applications
D Yu, MS Kim, G Xiao, TH Hwang
Genomics & informatics 11 (4), 200, 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
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
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
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
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
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
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
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
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
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
COEX-Seq: convert a variety of measurements of gene expression in RNA-Seq
SC Kim, D Yu, SB Cho
Genomics & informatics 16 (4), 2018
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
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
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
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
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
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
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
Comparative study of recommender systems using movie rating data
S Lee, Y Cho, JS Lee, D Yu
The Korean Data & Information Science Society 31 (6), 975-991, 2020
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