2018

  1. Kim Y, Dillon PM, Park T, Lee JK (2018) CONCORD biomarker prediction for novel drug introduction to different cancer types. Oncotarget, 9(1), 1091-1106
  2. Kwon M-S, Leem S, Yoon J, Park T (2018) GxGrare : Gene-gene interaction analysis method for rare variants from high-throughput sequencing data. BMC Systems Biology, 12(Suppl 2):19
  3. Lee H-S, Park T (2018) Nuclear Receptor and VEGF Pathways for Gene-Blood Lead Interactions, on Bone Mineral Density, in Korean Smokers. PLos One, 13(3):e0193323
  4. Jeong H, Leem S, Park T (2018) Fuzzy set-based generalized multifactor dimensionality reduction analysis of gene-gene interactions. BMC Medical Genomics, 11(Suppl 2):32 
  5. Lee J, Lee S, Jang JY, Park T (2018) Exact Association Test for Small Size Sequencing Data. BMC Medical Genomics, 11(Suppl 2):30
  6. Lee S, Choi S, Qiao D, Cho M, Silverman EK, Park T, Won S (2018) WISARD: Workbench for Integrated Superfast Association studies for Related Dataset. BMC Medical Genomics, 11 (Suppl 2) :39 
  7. Lee S, Kim Y, Choi S, Hwang H, Park T (2018) Pathway-based approach using hierarchical components of rare variants to analyze multiple phenotypes. BMC Bioinformatics, 19(Suppl 4):79  
  8. Kim Y, Lee S, Choi S, Jang J-Y, Park T (2018) Hierarchical structural component modeling of microRNA-mRNA integration analysis. BMC Bioinformatics, 19(Suppl 4):75   
  9. Lee H-S, Kim Y, Park T (2018) New Common and Rare Variants Influencing Metabolic Syndrome and Its Individual Components in a Korean Population. Scientific Reports, 8(1), 5701
  10. Lee C, Lee S, Park T (2018) Statistical methods for metagenomics data analysis. International Journal of Data Mining and Bioinformatics, 19(4), 366~385
  11. Bea S, Park T (2018) Risk prediction of type 2 diabetes using common and rare variants. International Journal of Data Mining and Bioinformatics, 20(1), 19-3
  12. Lee Y, Kim H, Park T, Part M (2018) Gene-gene interaction analysis for quantitative trait using cluster-based multifactor dimensionality reduction method. International Journal of Data Mining and Bioinformatics, 20(1), 1-11
  13. Jo Y, Park T (2017) Determining sample size for cross-over designs with multiple groups. International Journal of Data Mining and Bioinformatics, 20(1), 36-46
  14. Kwak SH, Chae J, Lee S, Choi S, Koo BK, Yoon JW, Park JH, Cho B, Moon MK, Lim S, Cho YM, Moon S, Kim YJ, Han S, Hwang MY, Cho YS, Lee MS, Jang HC, Kang HM, Park T, Cho NH, Kim K, Kim J, Park KS (2018) Nonsynonymous Variants in PAX4 and GLP1R are Associated with Type 2 Diabetes in an East Asian Population. Diabetes, 67(9):1892-1902
  15. Kim S, Choi S, Yoon J-H, Kim Y, Lee S, Park T (2018) Drug response prediction model using a hierarchical structural component modeling method. BMC Bioinformatics, 19(9), 117-128
  16. Huh I, Mendizabal I, Park T, Yi SV (2018) Functional conservation of sequence determinants at rapidly evolving regulatory regions across mammals. PLOS Computational Biology, 14(10), e1006451
  17. Baek JH, Ha K, Kim Y, Cho YA, Yang SY, Choi Y, Jang SL, Park T, Ha TH, Hong KS (2018) Psychopathologic structure of bipolar disorders: exploring dimensional phenotypes, their relationships, and their associations with bipolar I and II disorders. Psychological Medicine, 1-9
  18. Kim JY, Choi S, Park T, Kim SK, Jung YS, Park JH, Kim HJ, Cho YK, Sohn CI, Jeon WK, Kim BI, Choi KY, Park DI (2018) Development and validation of a scoring system for advanced colorectal neoplasm in young Korean subjects less than age 50 years. Intestinal Research, 17(2), 253-264
  19. Kim SI, Song M, Hwangbo S, Lee S, Cho U, Kim JH, Lee M, Kim HS, Chung HH, Suh DS, Park T, Song YS (2018) Development of Web-Based Nomograms to Predict Treatment Response and Prognosis of Epithelial Ovarian Cancer. Cancer Research and Treatment, doi: 10.4143/crt.2018.508
  20. Lee S, Son D, Kim Y, Yu W, Park T (2018) Unified Cox model based multifactor dimensionality reduction method for gene-gene interaction analysis of the survival phenotype. BioData Mining, 11:27
  21. Choi S, Lee S, Kim Y, Hwang H, Park T (2018) HisCoM-GGI: Hierarchical structural component analysis of gene-gene interactions. Journal of Bioinformatics and Computational Biology, 16(6), 1840026
  22. Jun J, Gim J, Kim Y, Kim H, Yu SJ, Yeo I, Park J, Yoo JJ, Cho YY, Lee DH, Cho EJ, Lee JH, Kim YJ, Lee S, Yoon JH, Kim Y, Park T (2018) Analysis of significant protein abundance from multiple reaction-monitoring data. BMC Systems Biology, 12(Suppl 9):123
  23. Rivas MA, Avila BE, Koskela J, Huang H, Stevens C, Pirinen M, Haritunians T, Neale BM, Kurki M, Ganna A, (… 13 other authors), International IBD Genetics Consortium, NIDDK IBD Genetics Consortium, T2D-GENES Consortium(including Park T), (…24 other authors), Cho JH, McGovern DP.B, Daly MJ (2018) Insights into the genetic epidemiology of Crohn’s and rare diseases in the Ashkenazi Jewish population. PLOS Genetics, 14(5), e1007329
  24. Yu W, Kim J K and Park T (2018) Estimation of Area Under the ROC Curve under nonignorable verification bias. Statistica Sinica, 28(4), 2149-2166
  25. Jeong S, Mok L, Kim SI, Ahn T, Song YS, Park T (2018) Ovarian Cancer Prognostic Prediction Model Using RNA Sequencing Data. Genomics & Informatics, 16(4), e32
  26. Leem S, Park T (2018) EFMDR-Fast: An Application of Empirical Fuzzy Multifactor Dimensionality Reduction for Fast Execution. Genomics & Informatics, 16(4), e37
  27. Choi S, Lee S, Park T (2018) HisCoM-GGI: Software for Hierarchical Structural Component Analysis of Gene-Gene Interactions. Genomics & Informatics, 16(4), e38
  28. Lee S, Park T (2018) Integration of a Large-Scale Genetic Analysis Workbench Increases the Accessibility of a High-Performance Pathway-Based Analysis Method. Genomics & Informatics, 16(4), e39