An extensive comparison of recent classification tools applied to microarray data. - Jae Won Lee; Jung Bok Lee; Mira Park 002; Seuck Heun Song (Comput. Stat. Data Anal., 2005)

A bias reducing technique in kernel distribution function estimation. - Choongrak Kim; Sungsoo Kim; Mira Park 002; Hakbae Lee (Comput. Stat., 2006)

Correspondence analysis approach for finding allele associations in population genetic study. - Mira Park 002; Jae Won Lee; Choongrak Kim (Comput. Stat. Data Anal., 2007)

Multi-purpose SNP Selection by the principal variables for a genetic study. - Seunghyun Lee; Mira Park 002 (BIBM, 2015)

Detecting high-dimensional genetic associations using a Markov-Blanket in a family-based study. - Hyo Jung Lee; Jae Won Lee; Seohoon Jin; Hee Jeong Yoo; Mira Park 002 (BIBM, 2016)

Principal variable approach to multipurpose SNP selection in genetic association studies. - Seunghyun Lee; Taesung Park; Mira Park 002 (Int. J. Data Min. Bioinform., 2016)

Cluster-based multifactor dimensionality reduction method to identify gene-gene interactions for quantitative traits in genome-wide studies. - Yoojung Lee; Hyein Kim; Taesung Park; Mira Park 002 (BIBM, 2017)

A Markov blanket-based approach for finding high-dimensional genetic interactions associated with disease in family-based studies. - Hyo Jung Lee; Jae Won Lee; Hee Jeong Yoo; Seohoon Jin; Mira Park 002 (Int. J. Data Min. Bioinform., 2017)

Detecting population structures by independent component analysis. - Mira Park 002; Eunbin Choi; Yongkang Kim; Taesung Park (BIBM, 2018)

Gene-gene interaction analysis for quantitative trait using cluster-based multifactor dimensionality reduction method. - You-Jung Lee; Hyein Kim; Taesung Park; Mira Park 002 (Int. J. Data Min. Bioinform., 2018)

Exploratory analysis for detecting population structures by iterative pruning based on independent component analysis. - Mira Park 002; Eunbin Choi; Heonsu Lee; Yongkang Kim; Taesung Park (Int. J. Data Min. Bioinform., 2019)

Spatial rank-based multifactor dimensionality reduction to detect gene-gene interactions for multivariate phenotypes. - Mira Park 002; Hoe-Bin Jeong; Jong-Hyun Lee; Taesung Park (BMC Bioinform., 2021)

Comparison of cancer subtype identification methods combined with feature selection methods in omics data analysis. - Jiyoon Park; Jae Won Lee; Mira Park 002 (BioData Min., 2023)