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Wai-Ki Yip

Showing results (1-10 of 16) with videos related to

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Bioinformatics (Oxford, England)|February 3, 2011
Quantitative trait prediction based on genetic marker-array data, a simulation studyWai-Ki Yip, Christoph Lange
BMC Bioinformatics|May 18, 2012
Handling the data management needs of high-throughput sequencing data: SpeedGene, a compression algorithm for the efficient storage of genetic dataDandi Qiao, Wai-Ki Yip, Christoph Lange
BMC Proceedings|March 1, 2012
Identifying causal rare variants of disease through family-based analysis of Genetics Analysis Workshop 17 data setWai-Ki Yip, Gourab De, Benjamin A Raby, et al.
Plos One|January 24, 2013
Rare variant analysis for family-based designGourab De, Wai-Ki Yip, Iuliana Ionita-Laza, et al.
BMC Genetics|March 2, 2013
A general semi-parametric approach to the analysis of genetic association studies in population-based designsSharon Lutz, Wai-Ki Yip, John Hokanson, et al.
Genetic Epidemiology|September 25, 2014
A novel method for detecting association between DNA methylation and diseases using spatial informationWai-Ki Yip, Heide Fier, Dawn L DeMeo, et al.
Clinical Trials (London, England)|October 24, 2015
Identifying treatment effect heterogeneity in clinical trials using subpopulations of events: STEPPAnn A Lazar, Marco Bonetti, Bernard F Cole, et al.
Genetic Epidemiology|November 30, 2011
On the analysis of sequence data: testing for disease susceptibility loci using patterns of linkage disequilibriumPeter J Lipman, Wai-Ki Yip, Taofik AlChawa, et al.
Clinical Trials (London, England)|April 21, 2016
Subpopulation Treatment Effect Pattern Plot (STEPP) analysis for continuous, binary, and count outcomesWai-Ki Yip, Marco Bonetti, Bernard F Cole, et al.
BMC Proceedings|December 19, 2014
A comparative analysis of family-based and population-based association tests using whole genome sequence dataJin J Zhou, Wai-Ki Yip, Michael H Cho, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Bioinformatics (Oxford, England)|February 3, 2011
Quantitative trait prediction based on genetic marker-array data, a simulation studyWai-Ki Yip, Christoph Lange
BMC Bioinformatics|May 18, 2012
Handling the data management needs of high-throughput sequencing data: SpeedGene, a compression algorithm for the efficient storage of genetic dataDandi Qiao, Wai-Ki Yip, Christoph Lange
BMC Proceedings|March 1, 2012
Identifying causal rare variants of disease through family-based analysis of Genetics Analysis Workshop 17 data setWai-Ki Yip, Gourab De, Benjamin A Raby, et al.
Plos One|January 24, 2013
Rare variant analysis for family-based designGourab De, Wai-Ki Yip, Iuliana Ionita-Laza, et al.
BMC Genetics|March 2, 2013
A general semi-parametric approach to the analysis of genetic association studies in population-based designsSharon Lutz, Wai-Ki Yip, John Hokanson, et al.
Genetic Epidemiology|September 25, 2014
A novel method for detecting association between DNA methylation and diseases using spatial informationWai-Ki Yip, Heide Fier, Dawn L DeMeo, et al.
Clinical Trials (London, England)|October 24, 2015
Identifying treatment effect heterogeneity in clinical trials using subpopulations of events: STEPPAnn A Lazar, Marco Bonetti, Bernard F Cole, et al.
Genetic Epidemiology|November 30, 2011
On the analysis of sequence data: testing for disease susceptibility loci using patterns of linkage disequilibriumPeter J Lipman, Wai-Ki Yip, Taofik AlChawa, et al.
Clinical Trials (London, England)|April 21, 2016
Subpopulation Treatment Effect Pattern Plot (STEPP) analysis for continuous, binary, and count outcomesWai-Ki Yip, Marco Bonetti, Bernard F Cole, et al.
BMC Proceedings|December 19, 2014
A comparative analysis of family-based and population-based association tests using whole genome sequence dataJin J Zhou, Wai-Ki Yip, Michael H Cho, et al.
Pageof 2