Hyonho Chun

发表

Sparse partial least squares regression for simultaneous dimension reduction and variable selection

S. Keleş, Hyonho Chun, 2010, Journal of the Royal Statistical Society. Series B, Statistical methodology.

On an Additive Semigraphoid Model for Statistical Networks With Application to Pathway Analysis

Hyonho Chun, Hongyu Zhao, Bing Li, 2014, Journal of the American Statistical Association.

Sparse Estimation of Conditional Graphical Models With Application to Gene Networks

Hongyu Zhao, Hyonho Chun, Bing Li, 2012, Journal of the American Statistical Association.

Robust precision matrix estimation via weighted median regression with regularization

Hyonho Chun, Sung-Ho Kim, Myung Hee Lee, 2018 .

Expression Quantitative Trait Loci Mapping With Multivariate Sparse Partial Least Squares Regression

Hyonho Chun, S. Keleş, Hyonho Chun, 2009, Genetics.

Effective simultaneous confidence bands for repeated measurements in linear mixed-effect models

Hyonho Chun, Jungwon Mun, 2014 .

Pavement Acceptance Testing: Risk-Controlled Sampling Strategy

Hyonho Chun, Hubo Cai, Jiannan Cai, 2019 .

Joint conditional Gaussian graphical models with multiple sources of genomic data

Min Chen, Hongyu Zhao, Hyonho Chun, 2013, Front. Genet..

CMARRT: A Tool of Analysis of CHIP-chip Data from Tiling Arrays by Incorporating the Correlation Structure

Hyonho Chun, Sündüz Keles, Pei Fen Kuan, 2007, Pacific Symposium on Biocomputing.

Identification of association between disease and multiple markers via sparse partial least‐squares regression

Judy H. Cho, Hongyu Zhao, Hyonho Chun, 2011, Genetic epidemiology.

Mutalisk: a web-based somatic MUTation AnaLyIS toolKit for genomic, transcriptional and epigenomic signatures

Andy Jinseok Lee, Dongwan Hong, Hyonho Chun, 2018, Nucleic Acids Res..

FIREVAT: finding reliable variants without artifacts in human cancer samples using etiologically relevant mutational signatures

Hyonho Chun, A. Lee, D. Hong, 2019, Genome Medicine.

Visualizing abnormal climate changes in Central America from 1995 to 2000

Sang-Hoon Cho, Hyonho Chun, Hyonho Chun, 2010, Comput. Stat..

A prediction model for healthcare time-series data with a mixture of deep mixed effect models using Gaussian processes

Hyonho Chun, Jaehyoung Hong, 2023, Biomed. Signal Process. Control..

Reverse Engineering of Gene Regulation Networks with an Application to the DREAM4 in silico Network Challenge

Hongyu Zhao, Minghua Deng, Hyonho Chun, 2011, Handbook of Statistical Bioinformatics.

Learning dispatching rules using random forest in flexible job shop scheduling problems

Seokcheon Lee, Hyonho Chun, Sungbum Jun, 2019, Int. J. Prod. Res..

An Introduction to the ‘spls’ Package, Version 1.0

Dongjun Chung, Hyonho Chun, Sündüz Keleş, 2008 .

Using Pre-Assessment and In-Class Questions to Change Student Understanding of Molecular Movements †

Jennifer M. Martin, Nancy A. Guild, Jennifer K. Knight, 2017, Journal of microbiology & biology education.

Gene Regulation Network Inference With Joint Sparse Gaussian Graphical Models

Hongyu Zhao, Hyonho Chun, Hongyu Zhao, 2015, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Kernel partial correlation: a novel approach to capturing conditional independence in graphical models for noisy data

Rebecca W. Doerge, Jihwan Oh, Faye Zheng, 2018 .

FIREVAT: finding reliable variants without artifacts in human cancer samples using etiologically relevant mutational signatures

Hyunbin Kim, Andy Jinseok Lee, Jongkeun Lee, 2019, Genome Medicine.

Genome-wide association studies using single-nucleotide polymorphisms versus haplotypes: an empirical comparison with data from the North American Rheumatoid Arthritis Consortium

Hyonho Chun, Heejung Shim, Hyonho Chun, 2009, BMC proceedings.

Graphical models via joint quantile regression with component selection

Myung Hee Lee, Hyonho Chun, Ji Hwan Oh, 2016, J. Multivar. Anal..

Deep Nonnegative Matrix Factorization Using a Variational Autoencoder With Application to Single-Cell RNA Sequencing Data

Hyonho Chun, Dong Jun Jee, Yixin Kong, 2022, IEEE/ACM Transactions on Computational Biology and Bioinformatics.