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Biometrics|June 16, 2009
Linear mixed model selection for false discovery rate control in microarray data analysisCumhur Yusuf Demirkale, Dan Nettleton, Tapabrata MaitiBioinformatics (Oxford, England)|November 29, 2007
Identification of differentially expressed gene categories in microarray studies using nonparametric multivariate analysisDan Nettleton, Justin Recknor, James M ReecyMethods in Molecular Biology (Clifton, N.J.)|March 28, 2008
An informatics approach to systems neurogeneticsGlenn D Rosen, Elissa J Chesler, Kenneth F Manly, et al.Journal of Agricultural, Biological, and Environmental Statistics|May 6, 2016
Empirical Bayes analysis of RNA-seq data for detection of gene expression heterosisJarad Niemi, Eric Mittman, Will Landau, et al.FASEB Journal : Official Publication of the Federation of American Societies for Experimental Biology|December 18, 2001
Differential gene expression in the rat soleus muscle during early work overload-induced hypertrophyJames A Carson, Dan Nettleton, James M ReecyBMC Bioinformatics|March 29, 2018
A hidden Markov tree model for testing multiple hypotheses corresponding to Gene Ontology gene setsKun Liang, Chuanlong Du, Hankun You, et al.BMC Biology|April 18, 2008
Duplicate gene expression in allopolyploid Gossypium reveals two temporally distinct phases of expression evolutionLex Flagel, Joshua Udall, Dan Nettleton, et al.Biometrics|September 22, 2012
A hierarchical semiparametric model for incorporating intergene information for analysis of genomic dataLong Qu, Dan Nettleton, Jack C M DekkersNucleic Acids Research|October 9, 2012
Reverse engineering and analysis of large genome-scale gene networksManeesha Aluru, Jaroslaw Zola, Dan Nettleton, et al.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 DekkersPageof 16