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Genetics|April 26, 2002
Investigating the probability of sign inconsistency in the regression coefficients of markers flanking quantitative trait lociJ T Gene Hwang, Dan NettletonBiometrics|August 24, 2007
Exploring the information in p-values for the analysis and planning of multiple-test experimentsDavid Ruppert, Dan Nettleton, J T Gene HwangImmunogenetics|August 9, 2005
Reliability of statistical associations between genes and diseaseKenneth F ManlyBioinformatics (Oxford, England)|January 24, 2007
Quick calculation for sample size while controlling false discovery rate with application to microarray analysisPeng Liu, J T Gene HwangBiometrics|April 4, 2007
Sharp simultaneous confidence intervals for the means of selected populations with application to microarray data analysisJing Qiu, J T Gene HwangStatistical Applications in Genetics and Molecular Biology|October 5, 2010
Optimal tests shrinking both means and variances applicable to microarray data analysisJ T Gene Hwang, Peng LiuTAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|January 15, 2008
Combining classical trait and microarray data to dissect transcriptional regulation: a case studyDong Wang, Dan NettletonBioinformatics (Oxford, England)|March 1, 2015
SimSeq: a nonparametric approach to simulation of RNA-sequence datasetsSam Benidt, Dan NettletonBioinformatics (Oxford, England)|May 26, 2020
rmRNAseq: differential expression analysis for repeated-measures RNA-seq dataYet Nguyen, Dan NettletonBiometrics|August 22, 2006
Identifying genes associated with a quantitative trait or quantitative trait locus via selective transcriptional profilingDong Wang, Dan NettletonPageof 16