Statistical tests for identifying differentially expressed genes in time-course microarray experiments. - Taesung Park; Sung-Gon Yi; Seungmook Lee; Seung Yeoun Lee; Dong-Hyun Yoo; Jun-Ik Ahn; Yong-Sung Lee (Bioinform., 2003)

Evaluation of normalization methods for microarray data. - Taesung Park; Sung-Gon Yi; Sung-Hyun Kang; Seung Yeoun Lee; Yong-Sung Lee; Richard Simon (BMC Bioinform., 2003)

Two-stage normalization using background intensities in cDNA microarray data. - Dankyu Yoon; Sung-Gon Yi; Ju-Han Kim; Taesung Park (BMC Bioinform., 2004)

arrayQCplot: software for checking the quality of microarray data. - Eun-Kyung Lee; Sung-Gon Yi; Taesung Park (Bioinform., 2006)

Combining multiple microarrays in the presence of controlling variables. - Taesung Park; Sung-Gon Yi; Young Kee Shin; Seung Yeoun Lee (Bioinform., 2006)

Spot Intensity Ratio Statistics in Two-Channel microarray Experiments. - Taesung Park; Kiwoong Kim; Sung-Gon Yi; Jin Hyuk Kim; Yong-Sung Lee; Seungyeoun Lee (J. Bioinform. Comput. Biol., 2007)

Response projected clustering for direct association with physiological and clinical response data. - Sung-Gon Yi; Taesung Park; Jae K. Lee (BMC 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)

Rank-Based Clustering Analysis for the Time-Course microarray Data. - Sung-Gon Yi; Yoon-Jeong Joo; Taesung Park (J. Bioinform. Comput. Biol., 2009)

Integrated analysis of the various types of microarray data using linear-mixed effects models. - Sung-Gon Yi; Taesung Park (BIBM, 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)

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)

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)