Super-sparse principal component analyses for high-throughput genomic data. - Donghwan Lee 001; Woojoo Lee; Youngjo Lee 001; Yudi Pawitan (BMC Bioinform., 2010)

Robust inference using hierarchical likelihood approach for heavy-tailed longitudinal outcomes with missing data: An alternative to inverse probability weighted generalized estimating equations. - Donghwan Lee 001; Youngjo Lee 001; Myunghee Cho Paik; Michael G. Kenward (Comput. Stat. Data Anal., 2013)

Rediscovery rate estimation for assessing the validation of significant findings in high-throughput studies. - Andrea Ganna; Donghwan Lee 001; Erik Ingelsson; Yudi Pawitan (Briefings Bioinform., 2015)

Integration of somatic mutation, expression and functional data reveals potential driver genes predictive of breast cancer survival. - Chen Suo; Olga Hrydziuszko; Donghwan Lee 001; Setia Pramana; Dhany Saputra; Himanshu Joshi; Stefano Calza; Yudi Pawitan (Bioinform., 2015)

Extended likelihood approach to multiple testing with directional error control under a hidden Markov random field model. - Donghwan Lee 001; Youngjo Lee 001 (J. Multivar. Anal., 2016)