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Guolian Kang

Showing results (1-10 of 159) with videos related to

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Journal of Human Genetics|August 10, 2007
Entropy-based joint analysis for two-stage genome-wide association studiesGuolian Kang, Yijun Zuo
Journal of Theoretical Biology|November 10, 2009
A mixed two-stage method for detecting interactions in genomewide association studiesYijun Zuo, Guolian Kang
Current Genomics|December 3, 2013
Gene-based Genomewide Association Analysis: A Comparison StudyGuolian Kang, Bo Jiang, Yuehua Cui
Methods (San Diego, Calif.)|May 28, 2018
Statistical selection of biological models for genome-wide association analysesWenjian Bi, Guolian Kang, Stanley B Pounds
Pediatric Blood & Cancer|February 11, 2022
Prevalence of neuropathic pain in adolescents with sickle cell disease: A single-center experienceMelissa Cregan, Latika Puri, Guolian Kang, et al.
Human Heredity|June 9, 2012
Two-stage extreme phenotype sequencing design for discovering and testing common and rare genetic variants: efficiency and powerGuolian Kang, Dongyu Lin, Hakon Hakonarson, et al.
Journal of Theoretical Biology|February 8, 2011
A powerful truncated tail strength method for testing multiple null hypotheses in one datasetBo Jiang, Xiao Zhang, Yijun Zuo, et al.
Statistics in Medicine|February 25, 2012
Efficient designs of gene-environment interaction studies: implications of Hardy-Weinberg equilibrium and gene-environment independenceJinbo Chen, Guolian Kang, Tyler Vanderweele, et al.
Frontiers in Genetics|August 23, 2021
Editorial: Statistical Methods, Computing and Resources for Genome-Wide Association StudiesHailan Liu, Lide Han, Guolian Kang, et al.
Frontiers in Genetics|November 7, 2022
Editorial: Statistical methods, computing, and resources for genome-wide association studies, Volume IILide Han, Hailan Liu, Guolian Kang, et al.
Pageof 16

Showing results (1-10 of 159) with videos related to

Sort By:
Pageof 16
Journal of Human Genetics|August 10, 2007
Entropy-based joint analysis for two-stage genome-wide association studiesGuolian Kang, Yijun Zuo
Journal of Theoretical Biology|November 10, 2009
A mixed two-stage method for detecting interactions in genomewide association studiesYijun Zuo, Guolian Kang
Current Genomics|December 3, 2013
Gene-based Genomewide Association Analysis: A Comparison StudyGuolian Kang, Bo Jiang, Yuehua Cui
Methods (San Diego, Calif.)|May 28, 2018
Statistical selection of biological models for genome-wide association analysesWenjian Bi, Guolian Kang, Stanley B Pounds
Pediatric Blood & Cancer|February 11, 2022
Prevalence of neuropathic pain in adolescents with sickle cell disease: A single-center experienceMelissa Cregan, Latika Puri, Guolian Kang, et al.
Human Heredity|June 9, 2012
Two-stage extreme phenotype sequencing design for discovering and testing common and rare genetic variants: efficiency and powerGuolian Kang, Dongyu Lin, Hakon Hakonarson, et al.
Journal of Theoretical Biology|February 8, 2011
A powerful truncated tail strength method for testing multiple null hypotheses in one datasetBo Jiang, Xiao Zhang, Yijun Zuo, et al.
Statistics in Medicine|February 25, 2012
Efficient designs of gene-environment interaction studies: implications of Hardy-Weinberg equilibrium and gene-environment independenceJinbo Chen, Guolian Kang, Tyler Vanderweele, et al.
Frontiers in Genetics|August 23, 2021
Editorial: Statistical Methods, Computing and Resources for Genome-Wide Association StudiesHailan Liu, Lide Han, Guolian Kang, et al.
Frontiers in Genetics|November 7, 2022
Editorial: Statistical methods, computing, and resources for genome-wide association studies, Volume IILide Han, Hailan Liu, Guolian Kang, et al.
Pageof 16