2016

  1. Lee S, Park T, Park M (2016) Principal variable approach to multipurpose SNP selectionin genetic association studies. International Journal of Data Mining and Bioinformatics, 16(1), 32~46
  2. Kwona Y, Choi Y-G, Park T, Ziegler A, Cho Paik M (2016) Generalized estimating equations with stabilized working correlation structure. Computational Statistics and Data Analysis, 106, 1~11
  3. Horikoshi M, Pasquali L, Wiltshire S, Huyghe JR, Mahajan A, Asimit JL, Ferreira T, Locke AE, Robertson NR, Wang X, Sim X, Fujita H, Hara K, Young R, Zhang W, Choi S, Chen H, Kaur I, Takeuchi F, Fontanillas P, Thuillier D, Yengo L, Below JE, Tam CH, Wu Y, Abecasis G, Altshuler D, Bell GI, Blangero J, Burtt NP, Duggirala R, Florez JC, Hanis CL, Seielstad M, Atzmon G, Chan JC, Ma RC, Froguel P, Wilson JG, Bharadwaj D, Dupuis J, Meigs JB, Cho YS, Park T, Kooner JS, Chambers JC, Saleheen D, Kadowaki T, Tai ES, Mohlke KL, Cox NJ, Ferrer J, Zeggini E, Kato N, Teo YY, Boehnke M, McCarthy MI, Morris AP; T2D-GENES Consortium(including Park T). (2016) Transancestral fine-mapping of four type 2 diabetes susceptibility loci highlights potential causal regulatory mechanisms. Human Molecular Genetics, 25(10), 2070-2081
  4. Gim J, Choi  S, Im J, Kim JK, Park T (2016) A post-hoc genome-wide association study using matched samples. International Journal of Data Mining and Bioinformatics, 14(3), 197~209
  5. Cho SS, Kim Y, Yoon J, Seo M, Shin S-k, Kwon E-Y, Kim S-E, Bae Y-J, Lee S, Sung M-K, Choi M-S, Park T (2016) A Model-Based Joint Identification of Differentially Expressed Genes and Phenotype-Associated Genes. PLOS ONE, 11(3), e0149086
  6. Ryu S, Huh IS, Cho EY, Cho Y, Park T, Yoon SC, Joo YH, Hong KS (2016) Association Study of 60 Candidate Genes with Antipsychotic-induced Weight Gain in Schizophrenia Patients. Pharmacopsychiatry, 49(2), 51-56
  7. Gim J, Cho YB, Hong HK, Kim HC, Yun SH, Chun H, Wu H, Jeong S, Park T, Park W, Lee WY (2016) Predicting multi-class responses to preoperative chemoradiotherapy in rectal cancer patients. Radiation Oncology, 11(50), 1-8
  8. Huh I, Park T (2016) Multifactor dimensionality reduction analysis of multiple binary traits for gene-gene interaction. International Journal of Data Mining and Bioinformatics, 11(50), 293-304
  9. Gim J, Park T (2016) The effect of impurity of reference peptides on normalization in selected reaction monitoring experiments. International Journal of Data Mining and Bioinformatics, 15(1), 1-9
  10. Mallavarapu RS, Ahn T, Mukherjee S, Bopardikar AS, Agarwal G and Park T (2016) Estimating functional coupling between cancer gene sub-networks using novel interaction measures. International Journal of Data Mining and Bioinformatics, 15(1), 10-21
  11. Jun J, Park T (2016) Linear Mixed Model Approach to Protein Significance Analysis. World Scientific and Engineering Academy and Society, 129-135
  12. Kim S, Park T (2016) An overview of integrative analysis in cancer studies. Integrative Cancer Science and Therapeutics, 3(3), 484-485
  13. Choi S, Lee S, Qiao D, Hardin M, Cho MH, Silverman EK, Park T, Won S (2016) FARVATX: Family-Based Rare Variant Association Test for X-Linked Genes. Genetic Epidemiology, 40(6), 475-485
  14. Kim JK, Berg E, Park T (2016) Statistical matching using fractional imputation. Survey Methodology, 40(1), 19-40
  15. Fuchsberger C, Flannick J, Teslovich TM, Mahajan A, Agarwala V, Gaulton KJ, Ma C, FontanillasP, Moutsianas L, McCarthy DJ, (… 231 other authors, including Park T …),  Meitinger T, Groop L, Abecasis G, Florez JC, Scott LJ, Morris AP, Kang HM, Boehnke M, Altshuler D, McCarthy MI (2016) The genetic architecture of type 2 diabetes. Nature, 536(7614):41-47
  16. Kim J, Won S, Park T (2016) LPEseq: Local-Pooled-Error Test for RNA Sequencing Experiments with a Small Number of Replicates. PLOS ONE, 11(8), 1-17
  17. Lek M, Karczewski KJ, Minikel EV, Samocha KE, Banks E, Fennell T, O’Donnell-Luria AH, Ware JS, Hill AJ, Cummings BB, (… 235 other authors, including Park T …), Sandor P, Seielstad M, Sladek R, Soberón X, Spector TD, Tai SE, Teslovich TM, Walford G, Wilkens LR, Williams AL  (2016) Analysis of protein-coding genetic variation in 60,706 humans. Nature, 536, 285-291
  18. Lim CS, Kim H, Yu NK, Kang SJ, Kim T, Ko HG, Lee J, Yang JE, Ryu HH, Park T, Gim J, Nam HJ, Baek SH, Wegener S, Schmitz D, Boeckers TM, Lee MG, Kim E, Lee JH, Lee YS, Kaang BK (2016) Enhancing inhibitory synaptic function reverses spatial memory deficits in Shank2 mutant mice. Neuropharmacology, 112, 104-112
  19. Yee J, Kim Y, Park T, Park M (2016) Using the generalized index of dissimilarity to detect gene-gene interactions in multi-class phenotypes. PLOS ONE, 11(8), e0158668
  20. Lee J, Kim YJ, Lee J; T2D-Genes Consortium, Kim BJ, Lee S, Park T (2016) Gene-set association tests for next-generation sequencing data. Bioinformatics, 32(17), i611-i619
  21. Yu W, Lee S, Park T (2016) A unified model based multifactor dimensionality reduction framework for detecting gene-gene interactions. Bioinformatics, 32(17), i605-i610
  22. Lee S, Choi S, Kim YJ, Kim BJ; T2d-Genes Consortium, Hwang H, Park T (2016) Pathway-based approach using hierarchical components of collapsed rare variants. Bioinformatics, 32(17), i586-i594
  23. Jang J-Y, Park T, Lee S, Kim Y,  Lee SY, Kim SW, Kim SC, Song KB, Yamamoto M, Hatori T, Hirono S, Satoi S, Fujii T, Hirano S, Hashimoto Y, Shimizu Y, Choi DW, Choi SH, Heo JS, Motoi F, Matsumoto I, Lee WJ, Kang CM, Han HS, Yoon YS, Sho M, Nagano H, Honda G, Kim SG, Yu HC, Chung JC, Nagakawa Y, Seo HI, Yamaue H (2016) Proposed Nomogram Predicting the Individual Risk of Malignancy in the Patients With Branch Duct Type Intraductal Papillary Mucinous Neoplasms of the Pancreas. Annals of Surgery, 266(6), 1062-1068
  24. Jung HY, Leem S, Lee S, Park T (2016) A novel fuzzy set based multifactor dimensionality reduction method for detecting gene-gene interaction. Computational Biology and Chemistry, 65, 193-202
  25. Gim J, Won S, Park T (2016) Conditional estimation of local pooled dispersion parameter in small-sample RNA-Seq data improves differential expression test. Journal of Bioinformatics and Computational Biology, 14(5), 1644006
  26. Choi H, Jung HY, Park T (2016) Statistical analysis for aggregated count data in genetic association studies. International Journal of Data Mining and Bioinformatics, 16(1), 77-91
  27. Kim Y, Kwon M-S, Choi Y, Yi SG, Namkung J, Han S, Kwon W, Kim SW, Jang J-Y, Kim H, Kim Y, Lee S, Park T (2016) Comparative studies for developing protein based cancer prediction model to maximize the ROC-AUC with various variable selection methods. International Journal of Data Mining and Bioinformatics, 16(1), 64-76
  28. Kim Y, Oh S, Huh I, Lee SY, Park T (2016) Analysis of multiple related phenotypes in genome-wide association studies. Journal of Bioinformatics and Computational Biology, 14(5), 1-13
  29. Chang HR, Nam S, Lee J, Kim JH, Jung HR, Park HS, Park S, Ahn YZ, Huh I, Balch C, Ku JL, Powis G, Park T, Jeong JH, Kim YH (2016) Systematic approach identifies RHOA as a potential biomarker therapeutic target for Asian gastric cancer. Oncotarget, 7(49),81435-81451
  30. Wang L, Choi S, Lee S, Park T and Won S (2016) Comparing family-based rare variant association tests for dichotomous phenotypes. BMC Proceedings, 10(Suppl 7):25
  31. Kim G, Kim Y, Kwon M-S, Park T (2016) Quality control Plot for high dimensional omics data. 2016 IEEE International Conference on Bioinformatics and Biomedicine, 1763-1766
  32. Choi S, Park S, Kim H, Kwon O, Park T (2016) Analysis for Doubly Repeated Omies Datafrom Crossover Design. 2016 IEEE International Conference on Bioinformatics and Biomedicine, 1749-1752
  33. Park H, Lee S, Kim YJ, Choi MS, Park T (2016) Multivariate approach to the analysis of correlated RNA-seq dataAnalysis for Doubly Repeated Omies Datafrom Crossover Design. 2016 IEEE International Conference on Bioinformatics and Biomedicine, 1773-1786
  34. Lee S, Won S Won, Kim YJ, Kim Y, T2D-Genes Consortium, Kim B-J, Park T (2016) Rare Variant Association Test with Multiple Phenotypes. Genetic Epidemiology, 41(3), 198-209
  35. Yee J, Kim Y, Park T  and  Mira Park (2016) Genetic Association Analysis of Fasting and 1- and 2-Hour Glucose Tolerance Test Data Using a Generalized Index of Dissimilarity Measure for the Korean Population. Genomics & Informatics, 14(4), 181-186
  36. Lee S, Son D, Yu W, Park T (2016) Gene-Gene Interaction Analysis for the Accelerated Failure Time Model Using a Unified Model-Based Multifactor Dimensionality Reduction Method. Genomics & Informatics, 14(4), 166-172
  37. Bae S, Choi S, Kim SM, Park T (2016) Prediction of Quantitative Traits Using Common Genetic Variants: Application to Body Mass Index. Genomics & Informatics, 14(4), 149-159
  38. Choi S, Bae S, Park T (2016) Risk Prediction Using Genome-Wide Association Studies on Type 2 Diabetes. Genomics & Informatics, 14(4), 138-148