IDMap: facilitating the detection of potential leads with therapeutic targets. - Soyang Ha; Young-Ju Seo; Min-Seok Kwon; Byung-Ha Chang; Cheol Kyu Han; Jeong Hyeok Yoon (Bioinform., 2008)

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)

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)

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)

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)

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)

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)

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)

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)

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

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)

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)