T. Park

J. Kwon, K. Hong, T. Park, 2012, American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics.

A large-scale genome-wide association study of Asian populations uncovers genetic factors influencing eight quantitative traits

Taesung Park, Bermseok Oh, Lon Cardon, 2009, Nature Genetics.

Identification of the associations between genes and quantitative traits using entropy-based kernel density estimation

T. Park, Mira Park, Jae-Yong Yee, 2022, Genomics & informatics.

An overview of integrative analysis in cancer studies

T. Park, Shinuk Kim, 2016 .

Error-pooling-based statistical methods for identifying novel temporal replication profiles of human chromosomes observed by DNA tiling arrays

S. Bekiranov, T. Park, Youngchul Kim, 2007, Nucleic acids research.

Hierarchical Structured Component Analysis for Microbiome Data Using Taxonomy Assignments

T. Park, S. Kim, Nayeon Kang, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Seasonality and its distinct clinical correlates in bipolar II disorder

T. Ha, J. Chang, Kyooseob Ha, 2015, Psychiatry Research.

Multiphasic analysis of whole exome sequencing data identifies a novel mutation of ACTG1 in a nonsyndromic hearing loss family

W. Park, T. Park, J. Gim, 2013, BMC Genomics.

Combined interaction of multi-locus genetic polymorphisms in cytarabine arabinoside metabolic pathway on clinical outcomes in adult acute myeloid leukaemia (AML) patients.

Iksoo Huh, T. Park, J. Oh, 2013, European journal of cancer.

Darkness and gulliver2/phyB mutation decrease the abundance of phosphorylated BZR1 to activate brassinosteroid signaling in Arabidopsis

T. Park, Seoae Cho, S. Fujioka, 2014, The Plant journal : for cell and molecular biology.

Estimation of Undetected Asymptomatic COVID-19 Cases in South Korea Using a Probabilistic Model

T. Park, Chanhee Lee, Catherine Apio, 2021, International journal of environmental research and public health.

Meta-Analysis of Homogeneous Subgroups Reveals Association between PDE4D Gene Variants and Ischemic Stroke

D. Kang, Sue-Kyung Park, T. Park, 2011, Neuroepidemiology.

Eating-behavior changes associated with antipsychotic medications in patients with schizophrenia as measured by the drug-related eating behavior questionnaire.

J. Kwon, J. Jang, Meerae Lim, 2013, Journal of clinical psychopharmacology.

Develop Nomogram to Predict Malignancy of Intraductal Papillary Mucinous Neoplasm.

Yongkang Kim, T. Park, 2018, Methods in molecular biology.

Association between ST8SIA2 and the Risk of Schizophrenia and Bipolar I Disorder across Diagnostic Boundaries

Kyooseob Ha, K. Hong, Iksoo Huh, 2015, PloS one.

Growth hormone-releasing hormone (GHRH) polymorphisms associated with carcass traits of meat in Korean cattle

H. Shin, H. Cheong, T. Park, 2006, BMC Genetics.

Practical issues in genome‐wide association studies for physical activity

T. Park, Sohee Oh, H. Min, 2011, Annals of the New York Academy of Sciences.

Calibration of High-Density Lipoprotein Cholesterol Values From the Korea National Health and Nutrition Examination Survey Data, 2008 to 2015

Min Jin Kim, Kyungwon Oh, Y. Yun, 2016, Annals of laboratory medicine.

Biological, Clinical, and Population Relevance of 95 Loci for Blood Lipids

Tanya M. Teslovich, Y. J. Kim, M. Rieder, 2010, Nature.

Comparative analyses of DNA methylation and sequence evolution using Nasonia genomes.

Taesung Park, Navin Elango, Dave Wheeler, 2011, Molecular biology and evolution.

Genome-wide search for genetic modulators in gene regulatory pathways: weighted window-based peak identification algorithm.

Kyunga Kim, T. Park, Eunjee Lee, 2011, Genomics.

Application of structural equation models to construct genetic networks using differentially expressed genes and single-nucleotide polymorphisms

Min A. Jhun, T. Park, Seungmook Lee, 2007, BMC proceedings.

Dietary Wolfberry Extract Modifies Oxidative Stress by Controlling the Expression of Inflammatory mRNAs in Overweight and Hypercholesterolemic Subjects: A Randomized, Double-Blind, Placebo-Controlled Trial.

C. Lee, J. Y. Kim, O. Kwon, 2017, Journal of agricultural and food chemistry.

Quantitative proteomic analysis of ribosomal protein L35b mutant of Saccharomyces cerevisiae.

Min A. Jhun, W. Huh, T. Park, 2010, Biochimica et biophysica acta.

Robust imputation method for missing values in microarray data

Taesung Park, Eun-Kyung Lee, Dankyu Yoon, 2007, BMC Bioinformatics.

Functional conservation of sequence determinants at rapidly evolving regulatory regions across mammals

Taesung Park, Iksoo Huh, Isabel Mendizabal, 2018, PLoS Comput. Biol..

Rare variant association test with multiple phenotypes

Taesung Park, Sungho Won, Y. J. Kim, 2017, Genetic epidemiology.

Multivariate generalized multifactor dimensionality reduction to detect gene-gene interactions

Taesung Park, Jiin Choi, T. Park, 2013, BMC Systems Biology.

Powerful p-value combination methods to detect incomplete association

T. Park, Sora Yoon, Bukyung Baik, 2021, Scientific Reports.

Pathway-based approach using hierarchical components of collapsed rare variants

Sungkyoung Choi, Taesung Park, Sungyoung Lee, 2016, Bioinform..

FARVATX: Family‐Based Rare Variant Association Test for X‐Linked Genes

E. Silverman, M. Cho, T. Park, 2016, Genetic epidemiology.

Psychopathologic structure of bipolar disorders: exploring dimensional phenotypes, their relationships, and their associations with bipolar I and II disorders

T. Ha, Kyooseob Ha, K. Hong, 2018, Psychological Medicine.

Editorial: Current Status and Future Challenges of Biobank Data Analysis

Y. Kamatani, C. K. Hsiao, G. Belbin, 2022, Frontiers in Genetics.

LINEAGE‐SPECIFIC VARIATION IN SLOW‐ AND FAST‐X EVOLUTION IN PRIMATES

S. Yi, T. Park, Sohee Oh, 2012, Evolution; international journal of organic evolution.

22q11-q13 as a hot spot for prediction of disease-free survival in bile duct cancer: integrative analysis of copy number variations.

Jin‐Young Jang, Jayoun Kim, T. Park, 2014, Cancer genetics.

DNA methylation and transcriptional noise

S. Yi, J. Zeng, Iksoo Huh, 2013, Epigenetics & Chromatin.

What are the determinants of gene expression levels and breadths in the human genome?

S. Yi, T. Park, Ke Xu, 2011, Human molecular genetics.

Systematic approach identifies RHOA as a potential biomarker therapeutic target for Asian gastric cancer

Yon Hui Kim, Jinhyuk Lee, Iksoo Huh, 2016, Oncotarget.

A new strategy for enhancing imputation quality of rare variants from next-generation sequencing data via combining SNP and exome chip data

Y. J. Kim, Bong-Jo Kim, Juyoung Lee, 2015, BMC Genomics.

Evaluating the contribution of rare variants to type 2 diabetes and related traits using pedigrees

Tanya M. Teslovich, Kyle J. Gaulton, Y. J. Kim, 2017, Proceedings of the National Academy of Sciences.

Genome-wide Analysis of Haplotype Interaction for the Data from the North American Rheumatoid Arthritis Consortium

Taesung Park, Junghyun Namkung, Min A. Jhun, 2008 .

Integrative analysis of time course microarray data and DNA sequence data via log-linear models for identifying dynamic transcriptional regulatory networks

Taesung Park, Kwang-Hyun Cho, Youngchul Kim, 2013, Int. J. Data Min. Bioinform..

PATHOME-Drug: a subpathway-based polypharmacology drug-repositioning method

Taesung Park, Seungyoon Nam, Sungyoung Lee, 2021, Bioinform..

Genome-scale DNA methylation pattern profiling of human bone marrow mesenchymal stem cells in long-term culture

Jin Choul Chai, T. Park, M. Choi, 2012, Experimental & Molecular Medicine.

Spatial rank-based multifactor dimensionality reduction to detect gene–gene interactions for multivariate phenotypes

T. Park, Mira Park, Hoe-Bin Jeong, 2021, BMC Bioinform..

Competitive pathway analysis using Structural Equation Models (CPA-SEM) for gene expression data

Sungkyoung Choi, Sungyoung Lee, Taesung Park, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

SNP-PRAGE: SNP-based parametric robust analysis of gene set enrichment

Taesung Park, Jaehoon Lee, Soyeon Ahn, 2011, BMC Systems Biology.

CARAT-GxG: CUDA-Accelerated Regression Analysis Toolkit for Large-Scale Gene–Gene Interaction with GPU Computing System

Taesung Park, Sungyoung Lee, Min-Seok Kwon, 2014, Cancer informatics.

CUDA-LR: CUDA-accelerated logistic regression analysis tool for gene-gene interaction for genome-wide association study

Taesung Park, Sungyoung Lee, Ik-Soo Huh, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

Detecting differential DNA methylation from sequencing of bisulfite converted DNA of diverse species

Taesung Park, Xin Wu, Ik-Soo Huh, 2017, Briefings Bioinform..

Multivariate approach to the analysis of correlated RNA-seq data

Seungyeoun Lee, Taesung Park, Hyunjin Park, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Enhancing inhibitory synaptic function reverses spatial memory deficits in Shank2 mutant mice

Min Goo Lee, Nam-Kyung Yu, B. Kaang, 2017, Neuropharmacology.

The epidemiology of acute pyelonephritis in South Korea, 1997-1999.

T. Park, B. Foxman, B. Choi, 2004, American journal of epidemiology.

A genome-wide scan for signatures of directional selection in domesticated pigs

R. Nielsen, M. Groenen, Namshin Kim, 2015, BMC Genomics.

Association between mutations of critical pathway genes and survival outcomes according to the tumor location in colorectal cancer

Taesung Park, Duhee Bang, Iksoo Huh, 2017, Cancer.

Identification of Novel Reference Genes Using Multiplatform Expression Data and Their Validation for Quantitative Gene Expression Analysis

Taesung Park, Yoon-La Choi, Young Kee Shin, 2009, PloS one.

Risk analysis of aseptic meningitis after measles-mumps-rubella vaccination in Korean children by using a case-crossover design.

T. Park, B. Choi, Sung-Gon Yi, 2003, American journal of epidemiology.

Inference of Large-Scale Gene Regulatory Networks Using Regression-Based Network Approach

Taesung Park, Haseong Kim, Jae K. Lee, 2009, J. Bioinform. Comput. Biol..

Deep Learning-based Identification of Cancer or Normal Tissue using Gene Expression Data

Taesung Park, TaeJin Ahn, Sungmin Kim, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Auxin stimulates DWARF4 expression and brassinosteroid biosynthesis in Arabidopsis.

T. Park, Seoae Cho, S. Fujioka, 2011, The Plant journal : for cell and molecular biology.

Development of Web-Based Nomograms to Predict Treatment Response and Prognosis of Epithelial Ovarian Cancer

H. Chung, Y. Song, Ju-Hyun Kim, 2018, Cancer research and treatment : official journal of Korean Cancer Association.

Heavy metal accumulation in and food safety of shark meat from Jeju island, Republic of Korea

Byeong-chun Lee, T. Park, Jehyun Cha, 2019, PloS one.

Global analysis of microarray data reveals intrinsic properties in gene expression and tissue selectivity

Taesung Park, Hyunjin Park, Jiwon Choi, 2010, Bioinform..

Analysis of the Interaction between Polygenic Risk Score and Calorie Intake in Obesity in the Korean Population

S. Rhee, B. Oh, T. Park, 2020, Lifestyle Genomics.

Variable selection via combined penalization for high-dimensional data analysis

Taesung Park, Xiaoming Wang, K. C. Carriere, 2010, Comput. Stat. Data Anal..

Diagnostic Application of Targeted Resequencing for Familial Nonsyndromic Hearing Loss

W. Park, B. Choi, T. Park, 2013, PloS one.

Meta-Qtest: meta-analysis of quadratic test for rare variants

Taesung Park, Jieun Ka, Jae-Hoon Lee, 2019, BMC Medical Genomics.

Development of Machine Learning Models to Predict Platinum Sensitivity of High-Grade Serous Ovarian Carcinoma

Young Tae Kim, Y. Song, Ju-Hyun Kim, 2021, Cancers.

Long-term response to mood stabilizer treatment and its clinical correlates in patients with bipolar disorders: a retrospective observational study

K. Hong, Yongkang Kim, T. Park, 2017, International Journal of Bipolar Disorders.

SEGMENTED DOSE-RESPONSE MODELS FOR REPEATED MEASURES DATA

T. Park, 2001 .

A comparison study of statistical methods for the analysis metagenome data

Seungyeoun Lee, Taesung Park, Chanyoung Lee, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Statistical analysis of MMR vaccine adverse events on aseptic meningitis using the case cross‐over design

T. Park, Sung-Gon Yi, M. Ki, 2004, Statistics in medicine.

Phenotype prediction from genome-wide association studies: application to smoking behaviors

Taesung Park, Young Jin Kim, Dankyu Yoon, 2012, BMC Systems Biology.

Which National Factors Are Most Influential in the Spread of COVID-19?

T. Park, Hakyong Kim, Doeun Lee, 2021, International journal of environmental research and public health.

Circulating Microbiota-Based Metagenomic Signature for Detection of Hepatocellular Carcinoma

Ji Won Kim, S. Kim, T. Park, 2019, Scientific Reports.

Identification of 15 loci influencing height in a Korean population

B. Han, Kyunga Kim, T. Park, 2010, Journal of Human Genetics.

Large-scale genome-wide association study of Asian population reveals genetic factors in FRMD4A and other loci influencing smoking initiation and nicotine dependence

Ming D. Li, Jong-Young Lee, T. Park, 2012, Human Genetics.

A Deep Learning Algorithm to Predict Hazardous Drinkers and the Severity of Alcohol-Related Problems Using K-NHANES

T. Park, D. Kim, Jihoon Oh, 2021, Frontiers in Psychiatry.

Biomarker development for pancreatic ductal adenocarcinoma using integrated analysis of mRNA and miRNA expression

Seungyeoun Lee, Taesung Park, Yongkang Kim, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Analysis of significant protein abundance from multiple reaction-monitoring data

Jung-Hwan Yoon, Youngsoo Kim, Seungyeoun Lee, 2018, BMC Systems Biology.

A Bayesian Hierarchical Model for Categorical Data with Nonignorable Nonresponse

P. Green, T. Park, 2003, Biometrics.

Innate Immunity and Non-Hodgkin’s Lymphoma (NHL) Related Genes in a Nested Case-Control Study for Gastric Cancer Risk

D. Kang, K. Yoo, Sue-Kyung Park, 2012, PloS one.

Microbiome Markers of Pancreatic Cancer Based on Bacteria-Derived Extracellular Vesicles Acquired from Blood Samples: A Retrospective Propensity Score Matching Analysis

Jin‐Young Jang, T. Park, Youngmin Han, 2021, Biology.

Genomic analysis of the telomeric length effect on organismic lifespan in Caenorhabditis elegans.

T. Park, Daechan Park, Junho Lee, 2010, Biochemical and biophysical research communications.

The relationships of present vegetation, bacteria, and soil properties with soil organic matter characteristics in moist acidic tundra in Alaska.

Yongkang Kim, T. Park, J. Jung, 2021, The Science of the total environment.

Gene-Gene Interaction Analysis for the Accelerated Failure Time Model Using a Unified Model-Based Multifactor Dimensionality Reduction Method

Seungyeoun Lee, Taesung Park, Donghee Son, 2016, Genomics & informatics.

Single nucleotide polymorphism in the FLT4 gene is associated with atopic dermatitis in Koreans.

E. Cho, E. Shin, Iksoo Huh, 2013, Cytokine.

Selecting SNPs for pharmacogenomic association study

TaeJin Ahn, Kyusang Lee, Taesung Park, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

Personalized identification of altered pathways in cancer using accumulated normal tissue data

Taesung Park, TaeJin Ahn, Eunjin Lee, 2014, Bioinform..

Validation of a nomogram to predict the risk of cancer in patients with intraductal papillary mucinous neoplasm and main duct dilatation of 10 mm or less

J. Chabot, T. Park, G. Su, 2019, The British journal of surgery.

Odds ratio based multifactor-dimensionality reduction method for detecting gene – gene interactions

Taesung Park, Robert C. Elston, Yujin Chung, 2006 .

A test for detecting differentially methylated regions

Taesung Park, Ik-Soo Huh, Soojin V. Yi, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

HisCoM-G×E: Hierarchical Structural Component Analysis of Gene-Based Gene–Environment Interactions

Heungsun Hwang, Iksoo Huh, T. Park, 2020, International journal of molecular sciences.

Proposed new staging system for ampulla of Vater cancer with greater discriminatory ability: multinational study from eastern and western centers

Jin‐Young Jang, J. Cameron, elliot k fishman, 2017, Journal of hepato-biliary-pancreatic sciences.

HisCoM-mimi: software for hierarchical structural component analysis for miRNA-mRNA integration model for binary phenotypes

Taesung Park, Yongkang Kim, Yongkang Kim, 2019, Genomics & informatics.

Integrative Analysis of Multi-Omics Data Based on Blockwise Sparse Principal Components

Taesung Park, Mira Park, Kwanyoung Moon, 2020, International journal of molecular sciences.

Cancer survival classification using integrated data sets and intermediate information

Taesung Park, Mark A. Kon, Shinuk Kim, 2014, Artif. Intell. Medicine.

Association of the glutamate transporter gene SLC1A1 with atypical antipsychotics-induced obsessive-compulsive symptoms.

J. Kwon, D. Kang, Meerae Lim, 2009, Archives of general psychiatry.

Association between the Arylalkylamine N-Acetyltransferase (AANAT) Gene and Seasonality in Patients with Bipolar Disorder

Kyooseob Ha, K. Hong, Yongkang Kim, 2021, Psychiatry investigation.

Correlation of Lifetime Symptom Dimensions with Cognitive Function and Other Clinical Characteristics in Schizophrenia Patients

K. Hong, T. Park, Sohee Oh, 2014 .

Is the New T1 Category as Defined in the Eighth Edition of the AJCC Pancreatic Cancer Staging System an Improvement?

Jin‐Young Jang, R. Higuchi, Masakazu Yamamoto, 2019, Journal of Gastrointestinal Surgery.

An integrated approach to infer causal associations among gene expression, genotype variation, and disease.

Taesung Park, Seoae Cho, Eunjee Lee, 2009, Genomics.

Diagnostic plots for detecting outlying slides in a cDNA microarray experiment.

Taesung Park, Sung-Gon Yi, Jae K Lee, 2005, BioTechniques.

Statistical tests for identifying differentially expressed genes in time-course microarray experiments

Taesung Park, Sung-Gon Yi, Seung Yeoun Lee, 2003, Bioinform..

Evaluation of normalization methods for microarray data

Taesung Park, Sung-Gon Yi, Seung Yeoun Lee, 2003 .

Ceruloplasmin as a prognostic marker in patients with bile duct cancer

Jin‐Young Jang, Yongkang Kim, T. Park, 2017, Oncotarget.

Cognitive profiles of healthy siblings of schizophrenia patients: Application of the cognitive domains of the MATRICS consensus battery

Kyooseob Ha, K. Hong, T. Park, 2009, The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry.

Genome-wide linkage scan of quantitative traits representing symptom dimensions in multiplex schizophrenia families

J. Kwon, H. Won, K. Hong, 2013, Psychiatry Research.

Transethnic meta-analysis of exome-wide variants identifies new loci associated with male-specific metabolic syndrome

T. Park, Boram Kim, Ho-Sun Lee, 2022, Genes & Genomics.

Smoking and Genetic Risk Variation Across Populations of European, Asian, and African American Ancestry—A Meta‐Analysis of Chromosome 15q25

Ming D. Li, John P. Rice, Yan V. Sun, 2012, Genetic epidemiology.

Application of Structural Equation Models to Genome-wide Association Analysis

Taesung Park, Junghyun Namkung, T. Park, 2010 .

Risk Prediction Using Genome-Wide Association Studies on Type 2 Diabetes

Sungkyoung Choi, Taesung Park, Sunghwan Bae, 2016, Genomics & informatics.

Field evaluation of a rapid immunochromatographic dipstick test for the diagnosis of cholera in a high-risk population

Taesung Park, Lorenz von Seidlein, Jacqueline L Deen, 2006, BMC infectious diseases.

Pathway-Driven Approaches of Interaction between Oxidative Balance and Genetic Polymorphism on Metabolic Syndrome

T. Park, Ho-Sun Lee, 2017, Oxidative medicine and cellular longevity.

Fuzzy heaping mechanism for heaped count data with imprecision

Taesung Park, Hye-Young Jung, Heawon Choi, 2018, Soft Comput..

Analysis of multiple related phenotypes in genome-wide association studies

Taesung Park, Seung Yeoun Lee, Iksoo Huh, 2016, J. Bioinform. Comput. Biol..

Association Study of 60 Candidate Genes with Antipsychotic-induced Weight Gain in Schizophrenia Patients

S. Ryu, K. Hong, Iksoo Huh, 2016, Pharmacopsychiatry.

Searching susceptibility genes for antipsychotic-induced weight gain: is the 5-HT2C receptor gene a promising candidate?

K. Hong, T. Park, 2007, Personalized medicine.

Nonsynonymous Variants in PAX4 and GLP1R Are Associated With Type 2 Diabetes in an East Asian Population

Y. J. Kim, H. Kang, Seungbok Lee, 2018, Diabetes.

Novel Trajectories for Identifying Asthma Phenotypes: A Longitudinal Study in Korean Asthma Cohort, COREA.

T. Park, Min-Hye Kim, J. Jung, 2019, The journal of allergy and clinical immunology. In practice.

Multivariate Quantitative Multifactor Dimensionality Reduction for Detecting Gene-Gene Interactions

Taesung Park, Min-Seok Kwon, Wenbao Yu, 2015, Human Heredity.

Molecular subtypes of pancreatic cancer based on miRNA expression profiles have independent prognostic value

Taesung Park, Junghyun Namkung, Sangjo Han, 2016, Journal of gastroenterology and hepatology.

Prognostic significance of E-cadherin and ZEB1 expression in intraductal papillary mucinous neoplasm

Jin‐Young Jang, T. Park, Sun-Whe Kim, 2017, Oncotarget.

Revaccination With Locally-Produced Vi Typhoid Polysaccharide Vaccine Among Chinese School-Aged Children: Safety and Immunogenicity Findings

T. Park, C. Acosta, J. Clemens, 2007, The Pediatric infectious disease journal.

Ovarian Cancer Prognostic Prediction Model Using RNA Sequencing Data

T. Ahn, T. Park, Lydia Mok, 2018, Genomics & informatics.

Gene–gene interaction analysis for the survival phenotype based on the Cox model

Seungyeoun Lee, Taesung Park, Min-Seok Kwon, 2012, Bioinform..

Pure additive contribution of genetic variants to a risk prediction model using propensity score matching: application to type 2 diabetes

T. Park, Nan Jiang, C. Park, 2019, Genomics & informatics.

Comprehensive Metabolomic Search for Biomarkers to Differentiate Early Stage Hepatocellular Carcinoma from Cirrhosis

T. Park, E. Cho, Joo-Youn Cho, 2019, Cancers.

The effect of impurity of reference peptides on normalisation in selected reaction monitoring experiments

Taesung Park, Jungsoo Gim, T. Park, 2016, Int. J. Data Min. Bioinform..

Estimating cancer gene pathway proximity using network interaction

Taesung Park, TaeJin Ahn, Subhankar Mukherjee, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Clinical Characteristics and Outcomes of COVID-19 Cohort Patients in Daegu Metropolitan City Outbreak in 2020

T. Park, Yu Mi Lee, S. Kim, 2020, Journal of Korean medical science.

Identifying molecular subtypes related to clinicopathologic factors in pancreatic cancer

Jin‐Young Jang, T. Park, Sangjo Han, 2014, Biomedical engineering online.

BALLI: Bartlett-adjusted likelihood-based linear model approach for identifying differentially expressed genes with RNA-seq data

Woojoo Lee, T. Park, J. Gim, 2019, BMC Genomics.

Clinicopathological Meaning of Size of Main-Duct Dilatation in Intraductal Papillary Mucinous Neoplasm of Pancreas: Proposal of a Simplified Morphological Classification Based on the Investigation on the Size of Main Pancreatic Duct

Jin‐Young Jang, Selyeong Lee, T. Park, 2015, World Journal of Surgery.

Effects of genetic variants of ST8SIA2 and NCAM1 genes on seasonal mood changes and circadian preference in the general population

K. Hong, Yongkang Kim, T. Park, 2018, Chronobiology international.

Statistical Estimation of Effects of Implemented Government Policies on COVID-19 Situation in South Korea

T. Park, Hakyong Kim, Doeun Lee, 2021, International journal of environmental research and public health.

Combining multiple microarrays in the presence of controlling variables

Taesung Park, Sung-Gon Yi, Seung Yeoun Lee, 2006, Bioinform..

Integrative Pathway Analysis of SNP and Metabolite Data Using a Hierarchical Structural Component Model

O. Kwon, T. Park, G. Hwang, 2022, Frontiers in Genetics.

Dropout rate and associated factors in patients with bipolar disorders.

T. Ha, E. Moon, J. Chang, 2012, Journal of affective disorders.

Derivation and validation of a risk scoring model to predict advanced colorectal neoplasm in adults of all ages

T. Park, Y. Jung, S. Park, 2017, Journal of gastroenterology and hepatology.

Integration of a Large-Scale Genetic Analysis Workbench Increases the Accessibility of a High-Performance Pathway-Based Analysis Method

Taesung Park, Sungyoung Lee, T. Park, 2018, Genomics & informatics.

Generalized estimating equations with stabilized working correlation structure

Taesung Park, Young-Geun Choi, Andreas Ziegler, 2017, Comput. Stat. Data Anal..

An approximation method of extremely low p-values using permutation test

Taesung Park, Sangseob Leem, T. Park, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Benzyl isothiocyanate suppresses high‐fat diet‐stimulated mammary tumor progression via the alteration of tumor microenvironments in obesity‐resistant BALB/c mice

Yongkang Kim, T. Park, H. Cho, 2015, Molecular carcinogenesis.

Efficient and Fast Analysis for Detecting High Order Gene-by-Gene Interactions in a Genome-Wide Association Study

Taesung Park, Jaehoon Lee, Min-Seok Kwon, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine.

An Integrative Assessment of the Psychophysiologic Alterations in Young Women With Recurrent Major Depressive Disorder

Taesung Park, Tae Hyon Ha, Kyooseob Ha, 2012, Psychosomatic medicine.

Verbal and Visual Memory Impairments in Bipolar I and II Disorder

T. Ha, J. Chang, Kyooseob Ha, 2012, Psychiatry investigation.

Patterns of cardiorespiratory coordination in young women with recurrent major depressive disorder treated with escitalopram or venlafaxine

Taesung Park, Tae Hyon Ha, Kyooseob Ha, 2012, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

New Common and Rare Variants Influencing Metabolic Syndrome and Its Individual Components in a Korean Population

Yongkang Kim, T. Park, Ho-Sun Lee, 2018, Scientific Reports.

Prediction Models for the Clinical Severity of Patients With COVID-19 in Korea: Retrospective Multicenter Cohort Study

T. Park, Bumjo Oh, Seungyeoun Lee, 2021, Journal of Medical Internet Research.

Sequence data and association statistics from 12,940 type 2 diabetes cases and controls

Taesung Park, Christian Gieger, Tien Yin Wong, 2017, Scientific Data.

Association analysis of sphingomyelinase 2 polymorphisms for the extrinsic type of atopic dermatitis in Koreans.

H. Shin, Jong-Young Lee, B. Han, 2007, Journal of dermatological science.

Developing cancer prediction model based on stepwise selection by AUC measure for proteomics data

Youngsoo Kim, Seungyeoun Lee, Taesung Park, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

T. Park, S. Kim, Chung Hyon Kim, 2012, Acta obstetricia et gynecologica Scandinavica.

Estimating functional coupling between cancer gene sub-networks using novel interaction measures

Taesung Park, TaeJin Ahn, Subhankar Mukherjee, 2016, Int. J. Data Min. Bioinform..

Interaction between genetic variants of DLGAP3 and SLC1A1 Affecting the Risk of Atypical Antipsychotics‐Induced Obsessive–Compulsive Symptoms

J. Kwon, K. Hong, T. Park, 2011, American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics.

An empirical fuzzy multifactor dimensionality reduction method for detecting gene-gene interactions

T. Park, Sangseob Leem, 2017, BMC Genomics.

EFMDR-Fast: An Application of Empirical Fuzzy Multifactor Dimensionality Reduction for Fast Execution

Taesung Park, Sangseob Leem, T. Park, 2018, Genomics & informatics.

HisCoM-GGI: Hierarchical structural component analysis of gene-gene interactions

Sungkyoung Choi, Taesung Park, Sungyoung Lee, 2018, J. Bioinform. Comput. Biol..

A novel fuzzy set based multifactor dimensionality reduction method for detecting gene-gene interaction

Taesung Park, Sungyoung Lee, Hye-Young Jung, 2016, Comput. Biol. Chem..

A unified model based multifactor dimensionality reduction framework for detecting gene-gene interactions

Seungyeoun Lee, Taesung Park, Wenbao Yu, 2016, Bioinform..

Using the Generalized Index of Dissimilarity to Detect Gene-Gene Interactions in Multi-Class Phenotypes

Taesung Park, Yongkang Kim, Mira Park, 2016, PloS one.

cuGWAM: Genome-wide association multifactor dimensionality reduction using CUDA-enabled high-performance graphics processing unit

Taesung Park, Sungyoung Lee, Min-Seok Kwon, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

New evaluation measures for multifactor dimensionality reduction classifiers in gene-gene interaction analysis

Taesung Park, Wonil Chung, Min-Seok Kwon, 2009, Bioinform..

Log-linear model-based multifactor dimensionality reduction method to detect gene-gene interactions

Taesung Park, Robert C. Elston, Youngchul Kim, 2007, Bioinform..

On the use of working correlation matrices in the gee approach for longitudinal data

Taesung Park, T. Park, Dong-Yun Shin, 1999 .

Exact association test for small size sequencing data

T. Park, Seungyeoun Lee, Jin-Young Jang, 2018, BMC Medical Genomics.

Predicting multi-class responses to preoperative chemoradiotherapy in rectal cancer patients

Y. Cho, S. Yun, H. Kim, 2016, Radiation oncology.

Statistical analysis for aggregated count data in genetic association studies

Taesung Park, Haewon Choi, Hye-Young Jung, 2016, Int. J. Data Min. Bioinform..

Hierarchical structural component modeling of microRNA-mRNA integration analysis

Yongkang Kim, T. Park, Sungyoung Lee, 2018, BMC Bioinformatics.

An Application of Regularized Extended Redundancy Analysis via Generalized Estimating Equations to the Study of Co-occurring Substance Use Among US Adults

Heungsun Hwang, Yongkang Kim, T. Park, 2019, Springer Proceedings in Mathematics & Statistics.

Development of Diagnostic Biomarkers for Detecting Diabetic Retinopathy at Early Stages Using Quantitative Proteomics

T. Park, Sohee Oh, Youngsoo Kim, 2015, Journal of diabetes research.

Integration of Traditional and Metabolomics Biomarkers Identifies Prognostic Metabolites for Predicting Responsiveness to Nutritional Intervention against Oxidative Stress and Inflammation

Y. J. Kim, J. Y. Kim, O. Kwon, 2017, Nutrients.

Enhanced peptide quantification using spectral count clustering and cluster abundance

Taesung Park, Jae K. Lee, Haixu Tang, 2011, BMC Bioinformatics.

GRACOMICS: software for graphical comparison of multiple results with omics data

T. Park, Joon-Ho Yoon, Minseok Seo, 2015, BMC Genomics.

Longitudinal data analysis in pedigree studies

S. John, S. Bull, Shaoqi Rao, 2003, Genetic epidemiology.

Identification of genetic loci affecting body mass index through interaction with multiple environmental factors using structured linear mixed model

B. Oh, T. Park, M. K. Kim, 2021, Scientific Reports.

Analysis of population-specific pharmacogenomic variants using next-generation sequencing data

T. Park, Eunyong Ahn, 2017, Scientific Reports.

Fuzzy set-based generalized multifactor dimensionality reduction analysis of gene-gene interactions

T. Park, Sangseob Leem, Hye-Young Jung, 2018, BMC Medical Genomics.

Prediction Models for the Clinical Severity of Patients With COVID-19 in Korea: Retrospective Multicenter Cohort Study

T. Park, Bumjo Oh, Seungyeoun Lee, 2020, Journal of medical Internet research.

Gene-gene interaction analysis for the survival phenotype based on the standardized residuals from parametric regression models

Seungyeoun Lee, Taesung Park, Min-Seok Kwon, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

Development and validation of a scoring system for advanced colorectal neoplasm in young Korean subjects less than age 50 years

J. Y. Kim, T. Park, Y. Cho, 2018, Intestinal research.

Hierarchical structural component model for pathway analysis of common variants

T. Park, Sungyoung Lee, Nan Jiang, 2020, BMC Medical Genomics.

Family-based association analysis: a fast and efficient method of multivariate association analysis with multiple variants

Taesung Park, Sungyoung Lee, Young Lee, 2015, BMC Bioinformatics.

WISARD: workbench for integrated superfast association studies for related datasets

E. Silverman, M. Cho, T. Park, 2018, BMC Medical Genomics.

Comparison of Statistical Models for Cross-over design

Taesung Park, Yonggab Kim, Kamruzzaman, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Two stage pattern clustering analysis in cross-over experimental design

Taesung Park, Youjin Kim, Iksoo Huh, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Determining sample size for cross-over designs with multiple groups

Taesung Park, Hyojin Lee, Oran Kwon, 2018, Int. J. Data Min. Bioinform..

Analysis for doubly repeated omics data from crossover design

Taesung Park, Sunghoon Choi, Oran Kwon, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A post-hoc genome-wide association study using matched samples

Sungkyoung Choi, Taesung Park, Jungsoo Gim, 2016, Int. J. Data Min. Bioinform..

Genome-wide association analysis with matched samples discloses additional novel risk loci

Sungkyoung Choi, Taesung Park, Jungsoo Gim, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Targeted Proteomics Predicts a Sustained Complete-Response after Transarterial Chemoembolization and Clinical Outcomes in Patients with Hepatocellular Carcinoma: A Prospective Cohort Study.

T. Park, Youngsoo Kim, J. Gim, 2017, Journal of proteome research.

GxGrare: gene-gene interaction analysis method for rare variants from high-throughput sequencing data

Taesung Park, Min-Seok Kwon, Sangseob Leem, 2018, BMC Systems Biology.

Proposal of the minimal number of retrieved regional lymph nodes for accurate staging of distal bile duct cancer and clinical validation of the three‐tier lymph node staging system (AJCC 8th edition)

Jin‐Young Jang, R. Higuchi, Masakazu Yamamoto, 2019, Journal of hepato-biliary-pancreatic sciences.

Efficient Statistical Method for Association Analysis of X-Linked Variants

T. Park, Heejin Jin, Sungho Won, 2017, Human Heredity.

Patterns of Gene Expression Associated with Pten Deficiency in the Developing Inner Ear

Min Kyung Sung, T. Park, Mihyun Park, 2014, PloS one.

Improving Disease Prediction by Incorporating Family Disease History in Risk Prediction Models with Large-Scale Genetic Data

Sunghoon Kwon, Changyi Park, Hosik Choi, 2017, Genetics.

LPEseq: Local-Pooled-Error Test for RNA Sequencing Experiments with a Small Number of Replicates

T. Park, J. Gim, Sungho Won, 2016, PloS one.

Practical Issues in Screening and Variable Selection in Genome-Wide Association Analysis

Taesung Park, Yongkang Kim, T. Park, 2014 .

Detecting population structures by independent component analysis

Taesung Park, Yongkang Kim, Eunbin Choi, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

FISH: Finding of identical spectra set for Homogenous peptide using two-stage clustering algorithm

Taesung Park, Jae K. Lee, Min-Seok Kwon, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

Identifying disease candidate genes via large-scale gene network analysis

Taesung Park, Haseong Kim, Erol Gelenbe, 2014, Int. J. Data Min. Bioinform..

Large-scale genome-wide association study of Asian population reveals genetic factors in FRMD4A and other loci influencing smoking initiation and nicotine dependence

Ming D. Li, Y. S. Cho, Jong-Young Lee, 2011, Human Genetics.

Novel Loci for Adiponectin Levels and Their Influence on Type 2 Diabetes and Metabolic Traits: A Multi-Ethnic Meta-Analysis of 45,891 Individuals

Karen L. Mohlke, Luigi Ferrucci, Florian Kronenberg, 2012, PLoS genetics.

Response projected clustering for direct association with physiological and clinical response data

Taesung Park, Jae K. Lee, Sung-Gon Yi, 2008, BMC Bioinformatics.

VizEpis : A visualization and mapping tool for interpreting epistasis

Taesung Park, Sungyoung Lee, Yongkang Kim, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Integrative analysis of multi-omics data for identifying multi-markers for diagnosing pancreatic cancer

Jin‐Young Jang, Yongkang Kim, Min-Seok Kwon, 2015, BMC Genomics.

Clustering Method to Identify Gene Sets with Similar Expression Profiles in Adjacent Chromosomal Regions

Taesung Park, Min A. Jhun, T. Park, 2009, IWANN.

Multifactor dimendionality reduction analysis for gene-gene interaction of multiple binary traits

Taesung Park, Ik-Soo Huh, Iksoo Huh, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Comparing family-based rare variant association tests for dichotomous phenotypes

T. Park, Sungyoung Lee, Sungkyoung Choi, 2016, BMC Proceedings.

FARVAT: a family-based rare variant association test

Sungkyoung Choi, Taesung Park, Sungyoung Lee, 2014, Bioinform..

Structural equation modeling for hypertension and type 2 diabetes based on multiple SNPs and multiple phenotypes

T. Park, Mira Park, Ji-Yeon Shin, 2019, bioRxiv.

Hierarchical structural component modeling of microRNA-mRNA integration analysis

Sungkyoung Choi, Taesung Park, Sungyoung Lee, 2018, BMC Bioinformatics.

Statistical methods for metagenomics data analysis

Seungyeoun Lee, Taesung Park, Chanyoung Lee, 2017, Int. J. Data Min. Bioinform..

Gene-set association tests for next-generation sequencing data

Seungyeoun Lee, Taesung Park, Jaehoon Lee, 2016, Bioinform..

HNF4α is a therapeutic target that links AMPK to WNT signalling in early-stage gastric cancer

Yon Hui Kim, D. Hong, Han Liang, 2014, Gut.

Characterization and Validation of an “Acute Aerobic Exercise Load” as a Tool to Assess Antioxidative and Anti-inflammatory Nutrition in Healthy Subjects Using a Statistically Integrated Approach in a Comprehensive Clinical Trial

J. Y. Kim, O. Kwon, T. Park, 2019, Oxidative medicine and cellular longevity.

Evolutionary design principles of modules that control cellular differentiation: consequences for hysteresis and multistationarity

Kwang-Hyun Cho, Tae-Geon Kim, Sung Hoon Jung, 2008, Bioinform..

Identifying miRNA-mRNA Integration Set Associated With Survival Time

Yongkang Kim, T. Park, Seungyeoun Lee, 2021, Frontiers in Genetics.

The influences of DNA methylation and epigenetic clocks, on metabolic disease, in middle-aged Koreans

T. Park, Ho-Sun Lee, 2020, Clinical epigenetics.

Evaluation of normalization methods for microarray data

R. Simon, T. Park, Seungyeoun Lee, 2003, BMC Bioinform..

Data mining for high throughput data from genome-wide association studies.

Taesung Park, Jurg Ott, J. Ott, 2012, International journal of data mining and bioinformatics.

Statistical Models, Inference, and Algorithms for Large Biological Data Analysis

Seungyeoun Lee, Debashis Ghosh, Taesung Park, 2010 .

Identification of differentially expressed subnetworks based on multivariate ANOVA

Taesung Park, Taeyoung Hwang, T. Park, 2009, BMC Bioinformatics.

Integrated analysis of the heterogeneous microarray data

Taesung Park, Sung Yi, T. Park, 2011, BMC Bioinformatics.

Finding pathway regulators: gene set approach using peak identification algorithms.

T. Park, J. Woo, Eunjee Lee, 2007, BMC Proceedings.

Drug response prediction model using a hierarchical structural component modeling method

Sungtae Kim, T. Park, Youngsoo Kim, 2018, BMC Bioinformatics.

Bis-class: a new classification tool of methylation status using bayes classifier and local methylation information

S. Yi, Iksoo Huh, T. Park, 2014, BMC Genomics.

Pathway-based approach using hierarchical components of rare variants to analyze multiple phenotypes

Sungkyoung Choi, Taesung Park, Sungyoung Lee, 2018, BMC Bioinformatics.

Odds ratio based multifactor-dimensionality reduction method for detecting gene-gene interactions

R. Elston, T. Park, Yujin Chung, 2007, Bioinform..

Unified Cox model based multifactor dimensionality reduction method for gene-gene interaction analysis of the survival phenotype

Yongkang Kim, T. Park, Wenbao Yu, 2018, BioData Mining.

Gene-gene interaction analysis for quantitative trait using cluster-based multifactor dimensionality reduction method

Taesung Park, You-Jung Lee, Hyein Kim, 2018, Int. J. Data Min. Bioinform..

Cluster-based multifactor dimensionality reduction method to identify gene-gene interactions for quantitative traits in genome-wide studies

Taesung Park, Yoojung Lee, Hyein Kim, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Multifactor dimensionality reduction analysis of multiple binary traits for gene-gene interaction

Taesung Park, Ik-Soo Huh, Iksoo Huh, 2016, Int. J. Data Min. Bioinform..

Identification of multiple gene-gene interactions for ordinal phenotypes

Taesung Park, Min-Seok Kwon, Sohee Oh, 2013, BMC Medical Genomics.

A novel method to identify high order gene-gene interactions in genome-wide association studies: Gene-based MDR

B. Weir, Kyooseob Ha, Jaehoon Lee, 2012, BMC Bioinformatics.

GxG-Viztool: A program for visualizing gene-gene interactions in genetic association analysis

Taesung Park, Sungyoung Lee, Min-Seok Kwon, 2012, 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops.

Joint selection of SNPs for improving prediction in genome-wide association studies

Taesung Park, Seo-Jin Bang, Yong-Gang Kim, 2012, 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops.

The Homocysteine and Metabolic Syndrome: A Mendelian Randomization Study

T. Park, Ho-Sun Lee, Sanghwan In, 2021, Nutrients.

Regression Models for Haplotype-Based Association Studies

Taesung Park, Junghyun Namkung, Sohee Oh, 2007 .

Development and External Validation of Survival Prediction Model for Pancreatic Cancer Using Two Nationwide Databases: Surveillance, Epidemiology and End Results (SEER) and Korea Tumor Registry System-Biliary Pancreas (KOTUS-BP)

Jin‐Young Jang, C. Jeong, T. Park, 2021, Gut and liver.

BALLI: Bartlett-adjusted likelihood-based linear model approach for identifying differentially expressed genes with RNA-seq data

Taesung Park, Sungho Won, Jungsoo Gim, 2019, BMC Genomics.

Conditional estimation of local pooled dispersion parameter in small-sample RNA-Seq data improves differential expression test

Taesung Park, Sungho Won, Jungsoo Gim, 2016, J. Bioinform. Comput. Biol..

Identifying differential expression for RNA-seq data with no replication

Taesung Park, Jungsoo Gim, T. Park, 2012, 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops.

HisCoM-PCA: software for hierarchical structural component analysis for pathway analysis based using principal component analysis

Taesung Park, Sungyoung Lee, Nan Jiang, 2020, Genomics & informatics.

Analysis of COVID-19 genetic risk susceptibility using UK Biobank SNP genotype data

T. Park, Catherine Apio, Kyulhee Han, 2021, International Journal of Data Mining and Bioinformatics.

Double error shrinkage method for identifying protein binding sites observed by tiling arrays with limited replication

Taesung Park, Jae K. Lee, Youngchul Kim, 2009, Bioinform..

Association between the zinc finger protein 804A (ZNF804A) gene and the risk of schizophrenia and bipolar I disorder across diagnostic boundaries

Kyooseob Ha, K. Hong, Yongkang Kim, 2017, Bipolar disorders.

Integrated Analysis of Gene Expression and Genotype Variation Data for Chronic Fatigue Syndrome

T. Park, Jungsoo Gim, 2012 .

Seasonality and its distinct clinical correlates in bipolar II disorder

T. Ha, J. Chang, Kyooseob Ha, 2015, Psychiatry Research.

IGENT: efficient entropy based algorithm for genome-wide gene-gene interaction analysis

Min-Seok Kwon, T. Park, Mira Park, 2014, BMC Medical Genomics.

Enhanced Permutation Tests via Multiple Pruning

Taesung Park, Sangseob Leem, Iksoo Huh, 2020, Frontiers in Genetics.

Estimation of Area Under the ROC Curve under nonignorable verification bias.

Taesung Park, Jae Kwang Kim, Wenbao Yu, 2018, Statistica Sinica.

Smoking and Genetic Risk Variation Across Populations of European, Asian, and African American Ancestry—A Meta‐Analysis of Chromosome 15q25

Ming D. Li, Sarah M. Hartz, Y. J. Kim, 2012 .

Smoking and Genetic Risk Variation Across Populations of European, Asian, and African American Ancestry—A Meta‐Analysis of Chromosome 15q25

Ming D. Li, John P. Rice, Sarah M. Hartz, 2012, Genetic epidemiology.

Molecular subtypes of pancreatic cancer based on miRNA expression profiles have independent prognostic value

Jin‐Young Jang, T. Park, W. Kwon, 2016, Journal of gastroenterology and hepatology.

Identification of hyperparameters with high effects on performance of deep neural networks: application to clinicopathological data of ovarian cancer

Taesung Park, Suhyun Hwangbo, Untack Cho, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Genome-wide analysis of haplotype interaction for the data from the North American Rheumatoid Arthritis Consortium

Min A. Jhun, T. Park, J. Namkung, 2009, BMC proceedings.

Evolutionary design principles of modules that control cellular differentiation: consequences for hysteresis and multistationarity

Kwang-Hyun Cho, Jeong-Rae Kim, T. Park, 2008, Bioinform..

Combined interaction of multi-locus genetic polymorphisms in cytarabine arabinoside metabolic pathway on clinical outcomes in adult acute myeloid leukaemia (AML) patients.

Iksoo Huh, T. Park, J. Oh, 2013, European journal of cancer.

A normalization method for multiple reaction monitoring (MRM) data

Taesung Park, Jungsoo Gim, T. Park, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Two simple algorithms on linear combination of multiple biomarkers to maximize partial area under the ROC curve

Taesung Park, Wenbao Yu, T. Park, 2015, Comput. Stat. Data Anal..

Network Graph Analysis of Gene-Gene Interactions in Genome-Wide Association Study Data

Taesung Park, Sungyoung Lee, Min-Seok Kwon, 2012, Genomics & informatics.

Two-way interaction analysis of obesity trait from Korean population using generalized MDR

Taesung Park, Min-Seok Kwon, Seungyeoun Lee, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

Evaluation of normalization methods for microarray data

T. Park, Sung-Gon Yi, Yong-Sung Lee, 2003, BMC Bioinformatics.

Forecasting of the COVID-19 pandemic situation of Korea

T. Park, Doeun Lee, Jisun Lim, 2021, Genomics & informatics.

Diagnostic model for pancreatic cancer using a multi-biomarker panel

Joon-Oh Park, Jin‐Young Jang, Song-Cheol Kim, 2021, Annals of surgical treatment and research.

Cancer Subtype Classification based on Superlayered Neural Network

Taesung Park, Prasoon Joshi, Seokho Jeong, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Fuzzy set-based generalized multifactor dimensionality reduction analysis of gene-gene interactions

Taesung Park, Sangseob Leem, Hye-Young Jung, 2018, BMC Medical Genomics.

Relationship between thyroid-stimulating hormone levels and risk of depression among the general population with normal free T4 levels

J. Chang, Y. Ahn, Kyooseob Ha, 2015, Psychoneuroendocrinology.

IGENT: efficient entropy based algorithm for genome-wide gene-gene interaction analysis

Taesung Park, Min-Seok Kwon, Mira Park, 2014, BMC Medical Genomics.

A novel method to identify high order gene-gene interactions in genome-wide association studies: Gene-based MDR

Taesung Park, Jaehoon Lee, Min-Seok Kwon, 2012, BMC Bioinformatics.

Gene expression based prediction of prognostic outcome in ovarian cancer

Taesung Park, TaeJin Ahn, Nayeon Kang, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Rank-Based Clustering Analysis for the Time-Course microarray Data

Taesung Park, Sung-Gon Yi, Yoon-Jeong Joo, 2009, J. Bioinform. Comput. Biol..

GWAS-GMDR: A program package for genome-wide scan of gene-gene interactions with covariate adjustment based on multifactor dimensionality reduction

Taesung Park, Sungyoung Lee, Wonil Chung, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

Improving Disease Prediction by Incorporating Family Disease History in Risk Prediction Models with Large-Scale Genetic Data

Sunghoon Kwon, Changyi Park, Hosik Choi, 2017, Genetics.

Risk prediction of type 2 diabetes using common and rare variants

Taesung Park, Sunghwan Bae, T. Park, 2018, Int. J. Data Min. Bioinform..

Risk prediction using common and rare genetic variants: Application to Type 2 diabetes

Taesung Park, Sunghwan Bae, T. Park, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Bayesian Models for Categorical Data edited by Congdon, P.

Taesung Park, T. Park, 2007 .