Bayesian Models and Markov Chain Monte Carlo Methods for Protein Motifs with the Secondary Characteristics. - Jun Xie; Nak-Kyeong Kim (J. Comput. Biol., 2005)

Adding sequence context to a Markov background model improves the identification of regulatory elements. - Nak-Kyeong Kim; Kannan Tharakaraman; John L. Spouge (Bioinform., 2006)

Protein Multiple Alignment Incorporating Primary and Secondary Structure Information. - Nak-Kyeong Kim; Jun Xie (J. Comput. Biol., 2006)

Finding sequence motifs with Bayesian models incorporating positional information: an application to transcription factor binding sites. - Nak-Kyeong Kim; Kannan Tharakaraman; Leonardo Mariño-Ramírez; John L. Spouge (BMC Bioinform., 2008)

Patent data analysis using functional count data model. - Jong-Min Kim 001; Nak-Kyeong Kim; Yoon-Sung Jung; Sunghae Jun (Soft Comput., 2019)