Statistical tests for identifying differentially expressed genes in time-course microarray experiments. - Taesung Park; Sung-Gon Yi; Seungmook Lee; Seung Yeoun Lee; Dong-Hyun Yoo; Jun-Ik Ahn; Yong-Sung Lee (Bioinform., 2003)

Evaluation of normalization methods for microarray data. - Taesung Park; Sung-Gon Yi; Sung-Hyun Kang; Seung Yeoun Lee; Yong-Sung Lee; Richard Simon (BMC Bioinform., 2003)

Two-stage normalization using background intensities in cDNA microarray data. - Dankyu Yoon; Sung-Gon Yi; Ju-Han Kim; Taesung Park (BMC Bioinform., 2004)

Improvement of Computing Times in Boolean Networks Using Chi-square Tests. - Haseong Kim; Jae K. Lee; Taesung Park (Systems Biology and Regulatory Genomics, 2005)

Bayesian Hierarchical Models for Serial Analysis of Gene Expression. - Seungyoon Nam; Seungmook Lee; Sanghyuk Lee; Seokmin Shin; Taesung Park (VDMB, 2006)

arrayQCplot: software for checking the quality of microarray data. - Eun-Kyung Lee; Sung-Gon Yi; Taesung Park (Bioinform., 2006)

Combining multiple microarrays in the presence of controlling variables. - Taesung Park; Sung-Gon Yi; Young Kee Shin; Seung Yeoun Lee (Bioinform., 2006)

Odds ratio based multifactor-dimensionality reduction method for detecting gene-gene interactions. - Yujin Chung; Seung Yeoun Lee; Robert C. Elston; Taesung Park (Bioinform., 2007)

Log-linear model-based multifactor dimensionality reduction method to detect gene-gene interactions. - Seung Yeoun Lee; Yujin Chung; Robert C. Elston; Youngchul Kim; Taesung Park (Bioinform., 2007)

Boolean networks using the chi-square test for inferring large-scale gene regulatory networks. - Haseong Kim; Jae K. Lee; Taesung Park (BMC Bioinform., 2007)

Robust imputation method for missing values in microarray data. - Dankyu Yoon; Eun-Kyung Lee; Taesung Park (BMC Bioinform., 2007)

Spot Intensity Ratio Statistics in Two-Channel microarray Experiments. - Taesung Park; Kiwoong Kim; Sung-Gon Yi; Jin Hyuk Kim; Yong-Sung Lee; Seungyeoun Lee (J. Bioinform. Comput. Biol., 2007)

Video bookmark based on soundtrack identification and two-stage search for interactive-television. - Hyoung-Gook Kim; Jin Young Kim 002; Taesung Park (IEEE Trans. Consumer Electron., 2007)

Evolutionary design principles of modules that control cellular differentiation: consequences for hysteresis and multistationarity. - Junil Kim; Tae-Geon Kim; Sung Hoon Jung; Jeong-Rae Kim; Taesung Park; Pat Heslop-Harrison; Kwang-Hyun Cho (Bioinform., 2008)

Response projected clustering for direct association with physiological and clinical response data. - Sung-Gon Yi; Taesung Park; Jae K. Lee (BMC Bioinform., 2008)

Model diagnostic plots for repeated measures data using the generalized estimating equations approach. - Sohee Oh; Keumhee Chough Carriere; Taesung Park (Comput. Stat. Data Anal., 2008)

Clustering Method to Identify Gene Sets with Similar Expression Profiles in Adjacent Chromosomal Regions. - Min A. Jhun; Taesung Park (IWANN (1), 2009)

Double error shrinkage method for identifying protein binding sites observed by tiling arrays with limited replication. - Youngchul Kim; Stefan Bekiranov; Jae K. Lee; Taesung Park (Bioinform., 2009)

New evaluation measures for multifactor dimensionality reduction classifiers in gene-gene interaction analysis. - Junghyun Namkung; Kyunga Kim; Sung-Gon Yi; Wonil Chung; Min-Seok Kwon; Taesung Park (Bioinform., 2009)

Identification of differentially expressed subnetworks based on multivariate ANOVA. - Taeyoung Hwang; Taesung Park (BMC Bioinform., 2009)

Inference of Large-Scale Gene Regulatory Networks Using Regression-Based Network Approach. - Haseong Kim; Jae K. Lee; Taesung Park (J. Bioinform. Comput. Biol., 2009)

Rank-Based Clustering Analysis for the Time-Course microarray Data. - Sung-Gon Yi; Yoon-Jeong Joo; Taesung Park (J. Bioinform. Comput. Biol., 2009)

Selecting SNPs for pharmacogenomic association study. - TaeJin Ahn; Kyunghee Park; Dae-Soon Son; Nam Huh; Kyusang Lee; Taejung Bae; Jungsun Park; Sohee Oh; Ji-Hyun Lee; Kyoohyoung Rho; Sung Kim; Taesung Park (BIBM Workshops, 2010)

Unbalanced sample size effect on the genome-wide population differentiation studies. - Kyunghee Han; Kyee-Zu Kim; Taesung Park (BIBM Workshops, 2010)

Compairing quantitative trait analysis to qualitative trait analysis for complex traits disease: A genome wide association study for hyperlipidemia. - Ik-Soo Huh; Sohee Oh; Eunjin Lee; Taesung Park (BIBM Workshops, 2010)

FISH: Finding of identical spectra set for Homogenous peptide using two-stage clustering algorithm. - Seungmook Lee; Min-Seok Kwon; Hyoung-Joo Lee; Young-Ki Paik; Jae K. Lee; Taesung Park (BIBM Workshops, 2010)

Two-way interaction analysis of obesity trait from Korean population using generalized MDR. - Sungyoung Lee 002; Sohee Oh; Min-Seok Kwon; Seungyeoun Lee; Taesung Park (BIBM Workshops, 2010)

Integrated analysis of the various types of microarray data using linear-mixed effects models. - Sung-Gon Yi; Taesung Park (BIBM, 2010)

Global analysis of microarray data reveals intrinsic properties in gene expression and tissue selectivity. - Changsik Kim; Jiwon Choi; Hyunjin Park; Yunsun Park; Jungsun Park; Taesung Park; Kwanghui Cho; Young Yang; Sukjoon Yoon (Bioinform., 2010)

Variable selection via combined penalization for high-dimensional data analysis. - Xiaoming Wang; Taesung Park; Keumhee Chough Carriere (Comput. Stat. Data Anal., 2010)

A chi-square test for detecting multiple joint genetic variants in genome-wide association studies. - Ik-Soo Huh; Sohee Oh; Taesung Park (BIBM Workshops, 2011)

GWAS-GMDR: A program package for genome-wide scan of gene-gene interactions with covariate adjustment based on multifactor dimensionality reduction. - Min-Seok Kwon; Kyunga Kim; Sungyoung Lee 002; Wonil Chung; Sung-Gon Yi; Junghyun Namkung; Taesung Park (BIBM Workshops, 2011)

CUDA-LR: CUDA-accelerated logistic regression analysis tool for gene-gene interaction for genome-wide association study. - Sungyoung Lee 002; Min-Seok Kwon; Ik-Soo Huh; Taesung Park (BIBM Workshops, 2011)

Gene-gene interaction analysis for the survival phenotype based on the standardized residuals from parametric regression models. - Seungyeoun Lee; Jinseok Oh; Min-Seok Kwon; Taesung Park (BIBM Workshops, 2011)

Efficient and Fast Analysis for Detecting High Order Gene-by-Gene Interactions in a Genome-Wide Association Study. - Sohee Oh; Jaehoon Lee; Min-Seok Kwon; Kyunga Kim; Taesung Park (BIBM, 2011)

Enhanced peptide quantification using spectral count clustering and cluster abundance. - Seungmook Lee; Min-Seok Kwon; Hyoung-Joo Lee; Young-Ki Paik; Haixu Tang; Jae K. Lee; Taesung Park (BMC Bioinform., 2011)

Integrated analysis of the heterogeneous microarray data. - Sung Yi; Taesung Park (BMC Bioinform., 2011)

SNP-PRAGE: SNP-based parametric robust analysis of gene set enrichment. - Jaehoon Lee; Soyeon Ahn; Sohee Oh; Bruce Weir; Taesung Park (BMC Syst. Biol., 2011)

Photometric and geometric rectification for stereoscopic images. - Seung-Ryong Han; Jongsul Min; Taesung Park; Yongje Kim (Three-Dimensional Image Processing (3DIP) and Applications, 2012)

Joint selection of SNPs for improving prediction in genome-wide association studies. - Seo-Jin Bang; Yong-Gang Kim; Taesung Park (BIBM Workshops, 2012)

Identifying differential expression for RNA-seq data with no replication. - Jungsoo Gim; Taesung Park (BIBM Workshops, 2012)

GxG-Viztool: A program for visualizing gene-gene interactions in genetic association analysis. - Kyunga Kim; Min-Seok Kwon; Sungyoung Lee 002; Junghyun Namkung; Ming D. Li; Taesung Park (BIBM Workshops, 2012)

A data aggregation framework for cancer subtype discovery. - S. N. Nagabhushan; TaeJin Ahn; M. R. Srikanth; Taesung Park; Ajit S. Bopardikar; Rangavittal Narayanan (BIBM Workshops, 2012)

Gene-gene interaction analysis for the survival phenotype based on the Cox model. - Seungyeoun Lee; Min-Seok Kwon; Jung Mi Oh; Taesung Park (Bioinform., 2012)

A novel method to identify high order gene-gene interactions in genome-wide association studies: Gene-based MDR. - Sohee Oh; Jaehoon Lee; Min-Seok Kwon; Bruce Weir; Kyooseob Ha; Taesung Park (BMC Bioinform., 2012)

Phenotype prediction from genome-wide association studies: application to smoking behaviors. - Dankyu Yoon; Young Jin Kim; Taesung Park (BMC Syst. Biol., 2012)

Selecting SNPs for pharmacogenomic association study. - TaeJin Ahn; Kyunghee Park; Dae-Soon Son; Nam Huh; Sohee Oh; Taejung Bae; Jungsun Park; Ji-Hyun Lee; Kyoohyoung Rho; Sunghoon Kim 001; Taesung Park; Kyusang Lee (Int. J. Data Min. Bioinform., 2012)

Unbalanced sample size effect on genome-wide population differentiation studies. - Kyunghee Han; Kyee-Zu Kim; Jung Mi Oh; In-Wha Kim; Kyungim Kim; Taesung Park (Int. J. Data Min. Bioinform., 2012)

cuGWAM: Genome-wide Association Multifactor Dimensionality reduction using CUDA-enabled high-performance graphics processing unit. - Min-Seok Kwon; Kyunga Kim; Sungyoung Lee 002; Taesung Park (Int. J. Data Min. Bioinform., 2012)

Pathway based identification of rare mutation effect in cancer. - TaeJin Ahn; Taesung Park (BIBM, 2013)

Computational methods for cancer survival classification using intermediate information. - Shinuk Kim; Taesung Park; Mark A. Kon (IWBBIO, 2013)

Multivariate generalized multifactor dimensionality reduction to detect gene-gene interactions. - Jiin Choi 002; Taesung Park (BMC Syst. Biol., 2013)

Integrative analysis of time course microarray data and DNA sequence data via log-linear models for identifying dynamic transcriptional regulatory networks. - Hyung-Seok Choi; Youngchul Kim; Kwang-Hyun Cho; Taesung Park (Int. J. Data Min. Bioinform., 2013)

Genome-wide association analysis with matched samples discloses additional novel risk loci. - Jungsoo Gim; Sungkyoung Choi; Jongho Im; Jae-Kwang Kim; Taesung Park (BIBM, 2014)

A normalization method for multiple reaction monitoring (MRM) data. - Jungsoo Gim; Taesung Park (BIBM, 2014)

Multifactor dimendionality reduction analysis for gene-gene interaction of multiple binary traits. - Ik-Soo Huh; Taesung Park (BIBM, 2014)

Identifying differentially expressed genes for ordinal phenotypes. - Yongkang Kim; Taesung Park (BIBM, 2014)

Biomarker development for pancreatic ductal adenocarcinoma using integrated analysis of mRNA and miRNA expression. - Min-Seok Kwon; Yongkang Kim; Seungyeoun Lee; Junghyun Namkung; Taegyun Yun; Sung-Gon Yi; Sangjo Han; Meejoo Kang; Sun Whe Kim; Jin-Young Jang; Taesung Park (BIBM, 2014)

Estimating cancer gene pathway proximity using network interaction. - Rama Srikanth Mallavarapu; TaeJin Ahn; Subhankar Mukherjee 001; Ajit S. Bopardikar; Garima Agarwal; Taesung Park (BIBM, 2014)

Case Study: A Visual Analytics System, Sapientia. - Sookyoung Song; Taesung Park (HCI (26), 2014)

Cancer survival classification using integrated data sets and intermediate information. - Shinuk Kim; Taesung Park; Mark A. Kon (Artif. Intell. Medicine, 2014)

Personalized identification of altered pathways in cancer using accumulated normal tissue data. - TaeJin Ahn; Eunjin Lee; Nam Huh; Taesung Park (Bioinform., 2014)

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)

Identifying disease candidate genes via large-scale gene network analysis. - Haseong Kim; Taesung Park; Erol Gelenbe (Int. J. Data Min. Bioinform., 2014)

Genetic association tests for cigarattes per day. - Haewon Choi; Hye-Young Jung 001; Taesung Park (BIBM, 2015)

Competitive pathway analysis using Structural Equation Models (CPA-SEM) for gene expression data. - Sungkyoung Choi; Sungyoung Lee 002; Ik-Soo Huh; Heungsun Hwang; Taesung Park (BIBM, 2015)

A test for detecting differentially methylated regions. - Ik-Soo Huh; Soojin V. Yi; Taesung Park (BIBM, 2015)

Developing cancer prediction model based on stepwise selection by AUC measure for proteomics data. - Yongkang Kim; Seungyeoun Lee; Min-Seok Kwon; Ahrum Na; Yonghwan Choi; Sung-Gon Yi; Junghyun Namkung; Sangjo Han; Meejoo Kang; Sun Whe Kim; Jin-Young Jang; Yikwon Kim; et al. (BIBM, 2015)

VizEpis : A visualization and mapping tool for interpreting epistasis. - Min-Seok Kwon; Sungyoung Lee 002; Yongkang Kim; Taesung Park (BIBM, 2015)

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)

Two simple algorithms on linear combination of multiple biomarkers to maximize partial area under the ROC curve. - Wenbao Yu; Taesung Park (Comput. Stat. Data Anal., 2015)

Analysis for doubly repeated omics data from crossover design. - Sunghoon Choi; Soo-yeon Park; Hoejin Kim; Oran Kwon; Taesung Park (BIBM, 2016)

Quality control plot for high dimensional omics data. - Gyu-Tae Kim; Yongkang Kim; Min-Seok Kwon; Taesung Park (BIBM, 2016)

Multivariate approach to the analysis of correlated RNA-seq data. - Hyunjin Park; Seungyeoun Lee; Ye Jin Kim; Myung-Sook Choi; Taesung Park (BIBM, 2016)

Pathway-based approach using hierarchical components of collapsed rare variants. - Sungyoung Lee 002; Sungkyoung Choi; Young Jin Kim 003; Bong-Jo Kim; Heungsun Hwang; Taesung Park (Bioinform., 2016)

Gene-set association tests for next-generation sequencing data. - Jaehoon Lee; Young Jin Kim 003; Juyoung Lee; Bong-Jo Kim; Seungyeoun Lee; Taesung Park (Bioinform., 2016)

A unified model based multifactor dimensionality reduction framework for detecting gene-gene interactions. - Wenbao Yu; Seungyeoun Lee; Taesung Park (Bioinform., 2016)

A novel fuzzy set based multifactor dimensionality reduction method for detecting gene-gene interaction. - Hye-Young Jung 001; Sangseob Leem; Sungyoung Lee 002; Taesung Park (Comput. Biol. Chem., 2016)

Statistical analysis for aggregated count data in genetic association studies. - Haewon Choi; Hye-Young Jung 001; Taesung Park (Int. J. Data Min. Bioinform., 2016)

A post-hoc genome-wide association study using matched samples. - Jungsoo Gim; Sungkyoung Choi; Jongho Im; Jae-Kwang Kim; Taesung Park (Int. J. Data Min. Bioinform., 2016)

The effect of impurity of reference peptides on normalisation in selected reaction monitoring experiments. - Jungsoo Gim; Taesung Park (Int. J. Data Min. Bioinform., 2016)

Multifactor dimensionality reduction analysis of multiple binary traits for gene-gene interaction. - Ik-Soo Huh; Taesung Park (Int. J. Data Min. Bioinform., 2016)

Comparative studies for developing protein based cancer prediction model to maximise the ROC-AUC with various variable selection methods. - Yongkang Kim; Min-Seok Kwon; Yonghwan Choi; Sung-Gon Yi; Junghyun Namkung; Sangjo Han; Wooil Kwon; Sun Whe Kim; Jin-Young Jang; Hyunsoo Kim; Youngsoo Kim; Seungyeoun Lee; et al. (Int. J. Data Min. Bioinform., 2016)

Principal variable approach to multipurpose SNP selection in genetic association studies. - Seunghyun Lee; Taesung Park; Mira Park 002 (Int. J. Data Min. Bioinform., 2016)

Estimating functional coupling between cancer gene sub-networks using novel interaction measures. - Rama Srikanth Mallavarapu; TaeJin Ahn; Subhankar Mukherjee 001; Ajit S. Bopardikar; Garima Agarwal; Taesung Park (Int. J. Data Min. Bioinform., 2016)

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)

Analysis of multiple related phenotypes in genome-wide association studies. - Sohee Oh; Ik-Soo Huh; Seung Yeoun Lee; Taesung Park (J. Bioinform. Comput. Biol., 2016)

Risk prediction using common and rare genetic variants: Application to Type 2 diabetes. - Sunghwan Bae; Taesung Park (BIBM, 2017)

Sample size calculation for comparing multiple groups in cross-over designs. - Yongjun Jo; Taesung Park (BIBM, 2017)

Cluster-based multifactor dimensionality reduction method to identify gene-gene interactions for quantitative traits in genome-wide studies. - Yoojung Lee; Hyein Kim; Taesung Park; Mira Park 002 (BIBM, 2017)

A comparison study of statistical methods for the analysis metagenome data. - Chanyoung Lee; Seungyeoun Lee; Taesung Park (BIBM, 2017)

Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks. - Jun-Yan Zhu; Taesung Park; Phillip Isola; Alexei A. Efros (ICCV, 2017)

An empirical fuzzy multifactor dimensionality reduction method for detecting gene-gene interactions. - Sangseob Leem; Taesung Park (BMC Genom., 2017)

Generalized estimating equations with stabilized working correlation structure. - Yongchan Kwon; Young-Geun Choi; Taesung Park; Andreas Ziegler 001; Myunghee Cho Paik (Comput. Stat. Data Anal., 2017)

Multivariate summary approach to omics data from crossover design with two repeated factors. - Sunghoon Choi; Soo-yeon Park; Hoejin Kim; Oran Kwon; Taesung Park (Int. J. Data Min. Bioinform., 2017)

Statistical quality control analysis of high-dimensional omics data. - Yongkang Kim; Gyu-Tae Kim; Min-Seok Kwon; Taesung Park (Int. J. Data Min. Bioinform., 2017)

Statistical methods for metagenomics data analysis. - Chanyoung Lee; Seungyeoun Lee; Taesung Park (Int. J. Data Min. Bioinform., 2017)

Analysis of clustered RNA-seq data. - Hyunjin Park; Seungyeoun Lee; Ye Jin Kim; Myung-Sook Choi; Taesung Park (Int. J. Data Min. Bioinform., 2017)

Detecting population structures by independent component analysis. - Mira Park 002; Eunbin Choi; Yongkang Kim; Taesung Park (BIBM, 2018)

Deep Learning-based Identification of Cancer or Normal Tissue using Gene Expression Data. - TaeJin Ahn; Taewan Goo; Chanhee Lee; Sungmin Kim; Kyullhee Han; Sangick Park; Taesung Park (BIBM, 2018)

Gene expression based prediction of prognostic outcome in ovarian cancer. - TaeJin Ahn; Nayeon Kang; Yonggab Kim; Taesung Park (BIBM, 2018)

Topological data analysis can extract subgroups with high incidence rates of Type 2 diabetes. - Hyung Sun Kim; Changwoo Yi; Yongkang Kim; Uhnmee Park; Woong Kook; Hyuk Kim; Taesung Park (BIBM, 2018)

An approximation method of extremely low p-values using permutation test. - Sangseob Leem; Taesung Park (BIBM, 2018)

CyCADA: Cycle-Consistent Adversarial Domain Adaptation. - Judy Hoffman; Eric Tzeng; Taesung Park; Jun-Yan Zhu; Phillip Isola; Kate Saenko; Alexei A. Efros; Trevor Darrell (ICML, 2018)

Unified Cox model based multifactor dimensionality reduction method for gene-gene interaction analysis of the survival phenotype. - Seungyeoun Lee; Donghee Son; Yongkang Kim; Wenbao Yu; Taesung Park (BioData Min., 2018)

Drug response prediction model using a hierarchical structural component modeling method. - Sungtae Kim; Sungkyoung Choi; Jung-Hwan Yoon; Youngsoo Kim; Seungyeoun Lee; Taesung Park (BMC Bioinform., 2018)

Hierarchical structural component modeling of microRNA-mRNA integration analysis. - Yongkang Kim; Sungyoung Lee 002; Sungkyoung Choi; Jin-Young Jang; Taesung Park (BMC Bioinform., 2018)

Pathway-based approach using hierarchical components of rare variants to analyze multiple phenotypes. - Sungyoung Lee 002; Yongkang Kim; Sungkyoung Choi; Heungsun Hwang; Taesung Park (BMC Bioinform., 2018)

GxGrare: gene-gene interaction analysis method for rare variants from high-throughput sequencing data. - Min-Seok Kwon; Sangseob Leem; Joon Yoon; Taesung Park (BMC Syst. Biol., 2018)

Predicting survival outcomes in ovarian cancer using gene expression data. - TaeJin Ahn; Nayeon Kang; Yonggab Kim; Se Ik Kim; Yongsang Song; Taesung Park (Int. J. Data Min. Bioinform., 2018)

Risk prediction of type 2 diabetes using common and rare variants. - Sunghwan Bae; Taesung Park (Int. J. Data Min. Bioinform., 2018)

Association test for rare variants using the hamming distance. - Suhyun Hwangbo; Jin-Young Jang; Bermseok Oh; Atsuko Imai-Okazaki; Jurg Ott; Taesung Park (Int. J. Data Min. Bioinform., 2018)

Determining sample size for cross-over designs with multiple groups. - Yongjun Jo; Hyojin Lee; Oran Kwon; Taesung Park (Int. J. Data Min. Bioinform., 2018)

Gene-gene interaction analysis for quantitative trait using cluster-based multifactor dimensionality reduction method. - You-Jung Lee; Hyein Kim; Taesung Park; Mira Park 002 (Int. J. Data Min. Bioinform., 2018)

SPARTA: super-fast permutation approach to approximate extremely low p-values. - Sangseob Leem; Dae Ho Lee; Taesung Park (Int. J. Data Min. Bioinform., 2018)

HisCoM-GGI: Hierarchical structural component analysis of gene-gene interactions. - Sungkyoung Choi; Sungyoung Lee 002; Yongkang Kim; Heungsun Hwang; Taesung Park (J. Bioinform. Comput. Biol., 2018)

Functional conservation of sequence determinants at rapidly evolving regulatory regions across mammals. - Ik-Soo Huh; Isabel Mendizabal; Taesung Park; Soojin V. Yi (PLoS Comput. Biol., 2018)

Fuzzy heaping mechanism for heaped count data with imprecision. - Hye-Young Jung 001; Heawon Choi; Taesung Park (Soft Comput., 2018)

Two stage pattern clustering analysis in cross-over experimental design. - Ik-Soo Huh; Sunghoon Choi; Youjin Kim; Soo-yeon Park; Oran Kwon; Taesung Park (BIBM, 2019)

Identification of hyperparameters with high effects on performance of deep neural networks: application to clinicopathological data of ovarian cancer. - Suhyun Hwangbo; Se Ik Kim; Untack Cho; Yongsang Song; Taesung Park (BIBM, 2019)

Cancer Subtype Classification based on Superlayered Neural Network. - Prasoon Joshi; Seokho Jeong; Taesung Park (BIBM, 2019)

Comparison of Statistical Models for Cross-over design. - Yonggab Kim; Md. Kamruzzaman 005; Yeni Lim; Oran Kwon; Taesung Park (BIBM, 2019)

Semantic Image Synthesis With Spatially-Adaptive Normalization. - Taesung Park; Ming-Yu Liu 001; Ting-Chun Wang; Jun-Yan Zhu (CVPR, 2019)

Detecting differential DNA methylation from sequencing of bisulfite converted DNA of diverse species. - Ik-Soo Huh; Xin Wu; Taesung Park; Soojin V. Yi (Briefings Bioinform., 2019)

Topological data analysis can extract sub-groups with high incidence rates of Type 2 diabetes. - Hyung Sun Kim; Changwoo Yi; Yongkang Kim; Uhnmee Park; Woong Kook; Bermseok Oh; Hyuk Kim; Taesung Park (Int. J. Data Min. Bioinform., 2019)

Exploratory analysis for detecting population structures by iterative pruning based on independent component analysis. - Mira Park 002; Eunbin Choi; Heonsu Lee; Yongkang Kim; Taesung Park (Int. J. Data Min. Bioinform., 2019)

Contrastive Learning for Unpaired Image-to-Image Translation. - Taesung Park; Alexei A. Efros; Richard Zhang 001; Jun-Yan Zhu (ECCV (9), 2020)

Swapping Autoencoder for Deep Image Manipulation. - Taesung Park; Jun-Yan Zhu; Oliver Wang; Jingwan Lu; Eli Shechtman; Alexei A. Efros; Richard Zhang 001 (NeurIPS, 2020)

A Customizable Dynamic Scenario Modeling and Data Generation Platform for Autonomous Driving. - Jay Shenoy; Edward Kim 005; Xiangyu Yue 001; Taesung Park; Daniel J. Fremont; Alberto L. Sangiovanni-Vincentelli; Sanjit Seshia (CoRR, 2020)

Deep learning-based classification and interpretation of gene expression data from cancer and normal tissues. - TaeJin Ahn; Taewan Goo; Chanhee Lee; Sungmin Kim; Kyullhee Han; Sangick Park; Taesung Park (Int. J. Data Min. Bioinform., 2020)

Ensemble of deep learning models to predict platinum resistance in high grade serous ovarian cancer. - Kyullhee Han; Hyeonjung Ham; Se Ik Kim; Yongsang Song; Taesung Park; TaeJin Ahn (Int. J. Data Min. Bioinform., 2020)

Two-stage clustering analysis to detect pattern change of biomarker expression between experimental conditions. - Ik-Soo Huh; Sunghoon Choi; Youjin Kim; Soo-yeon Park; Oran Kwon; Taesung Park (Int. J. Data Min. Bioinform., 2020)

Systematic investigation of hyperparameters on performance of deep neural networks: application to ovarian cancer phenotypes. - Suhyun Hwangbo; Se Ik Kim; Untack Cho; Dae-Shik Suh; Yongsang Song; Taesung Park (Int. J. Data Min. Bioinform., 2020)

Sparse superlayered neural network-based multi-omics cancer subtype classification. - Prasoon Joshi; Seokho Jeong; Taesung Park (Int. J. Data Min. Bioinform., 2020)

Contrastive Feature Loss for Image Prediction. - Alex Andonian; Taesung Park; Bryan Russell; Phillip Isola; Jun-Yan Zhu; Richard Zhang 001 (ICCVW, 2021)

Spatial rank-based multifactor dimensionality reduction to detect gene-gene interactions for multivariate phenotypes. - Mira Park 002; Hoe-Bin Jeong; Jong-Hyun Lee; Taesung Park (BMC Bioinform., 2021)

Analysis of COVID-19 genetic risk susceptibility using UK Biobank SNP genotype data. - Taewan Goo; Kyulhee Han; Catherine Apio; Taesung Park (Int. J. Data Min. Bioinform., 2021)

Evaluation of statistical methods for the analysis of crossover designs with repeated measurements. - Md. Kamruzzaman 005; Yonggab Kim; Yeni Lim; Oran Kwon; Taesung Park (Int. J. Data Min. Bioinform., 2021)

Machine Learning for Deep Image Manipulation. - Taesung Park (2021)

BlobGAN: Spatially Disentangled Scene Representations. - Dave Epstein; Taesung Park; Richard Zhang 001; Eli Shechtman; Alexei A. Efros (ECCV (15), 2022)

DeepHisCoM: deep learning pathway analysis using hierarchical structural component models. - Chanwoo Park; Boram Kim; Taesung Park (Briefings Bioinform., 2022)

Kernel-based hierarchical structural component models for pathway analysis. - Suhyun Hwangbo; Sungyoung Lee 002; Seungyeoun Lee; Heungsun Hwang; Inyoung Kim; Taesung Park (Bioinform., 2022)

PATHOME-Drug: a subpathway-based polypharmacology drug-repositioning method. - Seungyoon Nam; Sungyoung Lee 002; Sungjin Park; Jinhyuk Lee; Aron Park; Yon Hui Kim; Taesung Park (Bioinform., 2022)

Hierarchical Structured Component Analysis for Microbiome Data Using Taxonomy Assignments. - Sun Ah Kim; Nayeon Kang; Taesung Park (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

ASSET: autoregressive semantic scene editing with transformers at high resolutions. - Difan Liu; Sandesh Shetty; Tobias Hinz; Matthew Fisher; Richard Zhang 001; Taesung Park; Evangelos Kalogerakis (ACM Trans. Graph., 2022)

Scaling up GANs for Text-to-Image Synthesis. - Minguk Kang; Jun-Yan Zhu; Richard Zhang 001; Jaesik Park; Eli Shechtman; Sylvain Paris; Taesung Park (CVPR, 2023)

Domain Expansion of Image Generators. - Yotam Nitzan; Michaël Gharbi; Richard Zhang 001; Taesung Park; Jun-Yan Zhu; Daniel Cohen-Or; Eli Shechtman (CVPR, 2023)

Expressive Text-to-Image Generation with Rich Text. - Songwei Ge; Taesung Park; Jun-Yan Zhu; Jia-Bin Huang 001 (ICCV, 2023)

Holistic Evaluation of Text-to-Image Models. - Tony Lee; Michihiro Yasunaga; Chenlin Meng; Yifan Mai 001; Joon Sung Park; Agrim Gupta; Yunzhi Zhang; Deepak Narayanan; Hannah Teufel; Marco Bellagente; Minguk Kang; Taesung Park; et al. (NeurIPS, 2023)

Confidence Interval Estimation for Machine Learning Models in Forecasting Infectious Diseases. - Taewan Goo; Kyulhee Han; Hanbyul Song; Jiwon Park; Zhe Liu; Jooha Oh; Sayooj Aby Jose; Taesung Park (BIBM, 2024)

Uncertainty Quantification and Statistical Inference for Biologically Informed Neural Networks. - Taewan Goo; Chanhee Lee; Sangyeon Shin; Haeyoung Kim; Taesung Park (BIBM, 2024)

One-Step Diffusion with Distribution Matching Distillation. - Tianwei Yin; Michaël Gharbi; Richard Zhang 001; Eli Shechtman; Frédo Durand; William T. Freeman; Taesung Park (CVPR, 2024)

Distilling Diffusion Models Into Conditional GANs. - Minguk Kang; Richard Zhang 001; Connelly Barnes; Sylvain Paris; Suha Kwak; Jaesik Park; Eli Shechtman; Jun-Yan Zhu; Taesung Park (ECCV (28), 2024)

Editable Image Elements for Controllable Synthesis. - Jiteng Mu; Michaël Gharbi; Richard Zhang 001; Eli Shechtman; Nuno Vasconcelos; Xiaolong Wang 004; Taesung Park (ECCV (2), 2024)

Lazy Diffusion Transformer for Interactive Image Editing. - Yotam Nitzan; Zongze Wu 002; Richard Zhang 001; Eli Shechtman; Daniel Cohen-Or; Taesung Park; Michaël Gharbi (ECCV (24), 2024)

Improved Distribution Matching Distillation for Fast Image Synthesis. - Tianwei Yin; Michaël Gharbi; Taesung Park; Richard Zhang 001; Eli Shechtman; Frédo Durand; Bill Freeman (NeurIPS, 2024)

Customizing Text-to-Image Diffusion with Object Viewpoint Control. - Nupur Kumari; Grace Su; Richard Zhang 001; Taesung Park; Eli Shechtman; Jun-Yan Zhu (SIGGRAPH Asia, 2024)

Jump Cut Smoothing for Talking Heads. - Xiaojuan Wang; Taesung Park; Yang Zhou 009; Eli Shechtman; Richard Zhang 001 (CoRR, 2024)

Multi-Scale Semantic Segmentation with Modified MBConv Blocks. - Xi Chen; Yang Cai; Yuan Wu; Bo Xiong; Taesung Park (CoRR, 2024)

One-Step Image Translation with Text-to-Image Models. - Gaurav Parmar; Taesung Park; Srinivasa Narasimhan; Jun-Yan Zhu (CoRR, 2024)

Customizing Text-to-Image Diffusion with Camera Viewpoint Control. - Nupur Kumari; Grace Su; Richard Zhang 001; Taesung Park; Eli Shechtman; Jun-Yan Zhu (CoRR, 2024)

VideoGigaGAN: Towards Detail-rich Video Super-Resolution. - Yiran Xu; Taesung Park; Richard Zhang 001; Yang Zhou 009; Eli Shechtman; Feng Liu 015; Jia-Bin Huang 001; Difan Liu (CVPR, 2025)

Fractional derivative model in COVID-19 dynamics: application to symptom severity and hospital resource allocation in South Korea. - Faishal Farrel Herdicho; Sayooj Aby Jose; Anuwat Jirawattanapanit; Taesung Park (J. Appl. Math. Comput., 2025)

Expressive Image Generation and Editing with Rich Text. - Songwei Ge; Taesung Park; Jun-Yan Zhu; Jia-Bin Huang (Int. J. Comput. Vis., 2025)

Deep learning health space model for ordered responses. - Chanhee Lee; Taesung Park (BMC Medical Informatics Decis. Mak., 2025)