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Stan Pounds

Showing results (1-10 of 21) with videos related to

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Bioinformatics (Oxford, England)|June 17, 2006
Robust estimation of the false discovery rateStan Pounds, Cheng Cheng
Bioinformatics (Oxford, England)|March 4, 2009
Erratum: sample size determination for the false discovery rateStan Pounds, Cheng Cheng
BMC Bioinformatics|June 3, 2014
An R package that automatically collects and archives details for reproducible computingZhifa Liu, Stan Pounds
BMC Bioinformatics|April 22, 2021
Gene-set distance analysis (GSDA): a powerful tool for gene-set association analysisXueyuan Cao, Stan Pounds
Bioinformatics (Oxford, England)|October 6, 2005
Sample size determination for the false discovery rateStan Pounds, Cheng Cheng
Bioinformatics (Oxford, England)|February 28, 2004
Improving false discovery rate estimationStan Pounds, Cheng Cheng
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|May 11, 2005
Statistical development and evaluation of microarray gene expression data filtersStan Pounds, Cheng Cheng
Bioinformation|June 29, 2007
False discovery rate paradigms for statistical analyses of microarray gene expression dataCheng Cheng, Stan Pounds
Bioinformatics (Oxford, England)|July 2, 2003
Estimating the occurrence of false positives and false negatives in microarray studies by approximating and partitioning the empirical distribution of p-valuesStan Pounds, Stephan W Morris
Brain Research|October 24, 2007
Statistical analysis of data from retroviral clonal experiments in the developing retinaStan Pounds, Michael A Dyer
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Bioinformatics (Oxford, England)|June 17, 2006
Robust estimation of the false discovery rateStan Pounds, Cheng Cheng
Bioinformatics (Oxford, England)|March 4, 2009
Erratum: sample size determination for the false discovery rateStan Pounds, Cheng Cheng
BMC Bioinformatics|June 3, 2014
An R package that automatically collects and archives details for reproducible computingZhifa Liu, Stan Pounds
BMC Bioinformatics|April 22, 2021
Gene-set distance analysis (GSDA): a powerful tool for gene-set association analysisXueyuan Cao, Stan Pounds
Bioinformatics (Oxford, England)|October 6, 2005
Sample size determination for the false discovery rateStan Pounds, Cheng Cheng
Bioinformatics (Oxford, England)|February 28, 2004
Improving false discovery rate estimationStan Pounds, Cheng Cheng
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|May 11, 2005
Statistical development and evaluation of microarray gene expression data filtersStan Pounds, Cheng Cheng
Bioinformation|June 29, 2007
False discovery rate paradigms for statistical analyses of microarray gene expression dataCheng Cheng, Stan Pounds
Bioinformatics (Oxford, England)|July 2, 2003
Estimating the occurrence of false positives and false negatives in microarray studies by approximating and partitioning the empirical distribution of p-valuesStan Pounds, Stephan W Morris
Brain Research|October 24, 2007
Statistical analysis of data from retroviral clonal experiments in the developing retinaStan Pounds, Michael A Dyer
Pageof 3