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Junghyun Namkung

Showing results (1-10 of 25) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|February 7, 2012
Single marker family-based association analysis not conditional on parental informationJunghyun Namkung
Methods in Molecular Biology (Clifton, N.J.)|November 1, 2018
Statistical Methods for Identifying Biomarkers from miRNA Profiles of CancersJunghyun Namkung
Journal of Microbiology (Seoul, Korea)|February 29, 2020
Machine learning methods for microbiome studiesJunghyun Namkung
Methods in Molecular Biology (Clifton, N.J.)|October 6, 2017
Single Marker Family-Based Association Analysis Not Conditional on Parental InformationJunghyun Namkung, Sungho Won
BMC Genetics|February 3, 2006
Whole-genome association studies of alcoholism with loci linked to schizophrenia susceptibilityJunghyun Namkung, Youngchul Kim, Taesung Park
BMC Proceedings|May 10, 2008
Identification of expression quantitative trait loci by the interaction analysis using genetic algorithmJunghyun Namkung, Jin-Wu Nam, Taesung Park
BMC Proceedings|December 19, 2009
Genome-wide analysis of haplotype interaction for the data from the North American Rheumatoid Arthritis ConsortiumJungsun Park, Junghyun Namkung, Mina Jhun, et al.
BMC Proceedings|March 1, 2012
Capability of common SNPs to tag rare variantsXiangqing Sun, Junghyun Namkung, Xiaofeng Zhu, et al.
Genetic Epidemiology|February 26, 2009
Identification of gene-gene interactions in the presence of missing data using the multifactor dimensionality reduction methodJunghyun Namkung, Robert C Elston, Jun-Mo Yang, et al.
Genetic Epidemiology|December 1, 2011
Analysis of exome sequences with and without incorporating prior biological knowledgeJunghyun Namkung, Paola Raska, Jia Kang, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
Methods in Molecular Biology (Clifton, N.J.)|February 7, 2012
Single marker family-based association analysis not conditional on parental informationJunghyun Namkung
Methods in Molecular Biology (Clifton, N.J.)|November 1, 2018
Statistical Methods for Identifying Biomarkers from miRNA Profiles of CancersJunghyun Namkung
Journal of Microbiology (Seoul, Korea)|February 29, 2020
Machine learning methods for microbiome studiesJunghyun Namkung
Methods in Molecular Biology (Clifton, N.J.)|October 6, 2017
Single Marker Family-Based Association Analysis Not Conditional on Parental InformationJunghyun Namkung, Sungho Won
BMC Genetics|February 3, 2006
Whole-genome association studies of alcoholism with loci linked to schizophrenia susceptibilityJunghyun Namkung, Youngchul Kim, Taesung Park
BMC Proceedings|May 10, 2008
Identification of expression quantitative trait loci by the interaction analysis using genetic algorithmJunghyun Namkung, Jin-Wu Nam, Taesung Park
BMC Proceedings|December 19, 2009
Genome-wide analysis of haplotype interaction for the data from the North American Rheumatoid Arthritis ConsortiumJungsun Park, Junghyun Namkung, Mina Jhun, et al.
BMC Proceedings|March 1, 2012
Capability of common SNPs to tag rare variantsXiangqing Sun, Junghyun Namkung, Xiaofeng Zhu, et al.
Genetic Epidemiology|February 26, 2009
Identification of gene-gene interactions in the presence of missing data using the multifactor dimensionality reduction methodJunghyun Namkung, Robert C Elston, Jun-Mo Yang, et al.
Genetic Epidemiology|December 1, 2011
Analysis of exome sequences with and without incorporating prior biological knowledgeJunghyun Namkung, Paola Raska, Jia Kang, et al.
Pageof 3