2022

  1. Lee S, Huh I, Kang S, Nam Y, Cho Y,Kamruzzaman MD, Hong J, Kwon O, Park T (2022) Meta-Analysis of Randomized Clinical Trials Evaluating Effectiveness of a Multivitamin Supplementation against Oxidative Stress in Healthy Subjects. Nutrients, 14(6), 1170
  2. Lee H-S,Kim B, Park T (2022) Transethnic meta-analysis of exome-wide variants identifies new loci associated with male-specific metabolic syndrome. Genes & Genomics, 44(5), 629-636
  3. Hwangbo S, Lee S, Lee S, Hwang H, Kim I, Park T (2022) Kernel-based hierarchical structural component models for pathway analysis. Bioinformatics, 38(11), 3078-3086
  4. Lim JE, Kang J-O, Ha T-W, Jung H-U, Kim DJ, Baek EJ, Kim HK, Chung JY, Rhee SY, Kim MK, Kim Y-J, Park T, Oh B (2022) Gene‐environment interaction in type 2 diabetes in Korean cohorts:Interaction of a type 2 diabetes poly genic risk score with triglyceride and cholesterol on fasting glucose levels. Genetic Epidemiology, 10.1002/gepi.22454
  5. Park C, Kim B, Park T (2022) DeepHisCoM: deep learning pathway analysis using hierarchical structural component models. Briefings in Bioinformatics, doi.org/10.1093/bib/bbac171
  6. Gu W, Moon J, Chisina C, Kang B, Park T, Koh H (2022) MiCloud: A unified web platform for comprehensive microbiome data analysis. PLoS One, 17(8), e0272354
  7. Chung W, Hwang H, Park T (2022) Bayesian analysis of longitudinal traits in the Korea Association Resource (KARE) cohort. Genomics & Informatics, 20(2), e16
  8. Oh J, Apio C, Park T (2022) Mathematical modeling of the impact of Omicron variant on the COVID-19 situation in South Korea. Genomics & Informatics, 20(2), e22
  9. Kim H, Park T, Jang J, Lee S (2022) Comparison of survival prediction models for pancreatic cancer: Cox model versus machine learning models. Genomics & Informatics, 20(2), e23
  10. Yee J, Park T, Park M (2022) Identification of the associations between genes and quantitative traits using entropy-based kernel density estimation Genomics & Informatics, 20(2), e17
  11. Lee SM, Hwangbo S, Norwitz ER, Koo JN, Oh IH, Choi ES, Jung YM, Kim SM, Kim BJ, Kim SY, Kim GM, Kim W, Joo SK, Shin S, Park CW, Park T, Park JS (2022) Nonalcoholic fatty liver disease and early prediction of gestational diabetes mellitus using machine learning methods. Clinical and Molecular Hepatology, 28(1), 105-116
  12. Park S, Moon J, Kang N, Kim YH, You YA, Kwon E, Ansari A, Hur YM, Park T, Kim YJ (2022) Predicting preterm birth through vaginal microbiota, cervical length, and WBC using a machine learning model. Frontiers in Microbiology, 13:912853
  13. Kim K, Hwangbo S, Kim H, Kim YB, No JH, Suh DH, Park T (2022) Clinicopathologic and protein markers distinguishing the “polymerase epsilon exonuclease” from the “copy number low” subtype of endometrial cancer. Journal of Gynecologic Oncology, 33(3), e27
  14. Park C, Kim Y, Lee C, Kim JY, Kwon O, Park T (2022) Statistical modeling of health space based on metabolic stress and oxidative stress scores. BMC Public Health, 22:1701
  15. Wang, Z. Emmerich, A. et al., (2022). Genome-wide association analyses of physical activity and sedentary behavior provide insights into underlying mechanisms and roles in disease prevention, Nature Genetics, 54(9),1332-1344. doi: 10.1038/s41588-022-01165-1. 
  16. Hwangbo S, Kim Y, Lee C, Lee S, Oh B, Moon MK, Kim SW, Park T (2022) Machine learning models to predict the maximum severity of COVID-19 based on initial hospitalization record. Frontiers in Public Health, 10:1007205