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Tim Bancroft
Chuanlong Du
Dan Nettleton

Biometrics

Showing results (1-10 of 6) with videos related to

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Biometrics|February 6, 2013
Estimation of false discovery rate using sequential permutation p-valuesTim Bancroft, Chuanlong Du, Dan Nettleton
Biometrics|August 22, 2006
Identifying genes associated with a quantitative trait or quantitative trait locus via selective transcriptional profilingDong Wang, Dan Nettleton
Biometrics|June 16, 2009
Linear mixed model selection for false discovery rate control in microarray data analysisCumhur Yusuf Demirkale, Dan Nettleton, Tapabrata Maiti
Biometrics|August 24, 2007
Exploring the information in p-values for the analysis and planning of multiple-test experimentsDavid Ruppert, Dan Nettleton, J T Gene Hwang
Biometrics|September 22, 2012
A hierarchical semiparametric model for incorporating intergene information for analysis of genomic dataLong Qu, Dan Nettleton, Jack C M Dekkers
Biometrics|May 4, 2012
Improved estimation of the noncentrality parameter distribution from a large number of t-statistics, with applications to false discovery rate estimation in microarray data analysisLong Qu, Dan Nettleton, Jack C M Dekkers
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Biometrics|February 6, 2013
Estimation of false discovery rate using sequential permutation p-valuesTim Bancroft, Chuanlong Du, Dan Nettleton
Biometrics|August 22, 2006
Identifying genes associated with a quantitative trait or quantitative trait locus via selective transcriptional profilingDong Wang, Dan Nettleton
Biometrics|June 16, 2009
Linear mixed model selection for false discovery rate control in microarray data analysisCumhur Yusuf Demirkale, Dan Nettleton, Tapabrata Maiti
Biometrics|August 24, 2007
Exploring the information in p-values for the analysis and planning of multiple-test experimentsDavid Ruppert, Dan Nettleton, J T Gene Hwang
Biometrics|September 22, 2012
A hierarchical semiparametric model for incorporating intergene information for analysis of genomic dataLong Qu, Dan Nettleton, Jack C M Dekkers
Biometrics|May 4, 2012
Improved estimation of the noncentrality parameter distribution from a large number of t-statistics, with applications to false discovery rate estimation in microarray data analysisLong Qu, Dan Nettleton, Jack C M Dekkers
Pageof 1