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Bioinformatics (Oxford, England)|July 16, 2014
An improved method for computing q-values when the distribution of effect sizes is asymmetricMegan Orr, Peng Liu, Dan NettletonJournal of Agricultural, Biological, and Environmental Statistics|December 2, 2014
Estimation and Testing of Gene Expression HeterosisTieming Ji, Peng Liu, Dan NettletonStatistical Applications in Genetics and Molecular Biology|May 23, 2012
Borrowing information across genes and experiments for improved error variance estimation in microarray data analysisTieming Ji, Peng Liu, Dan NettletonTAG. 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 NettletonJournal of Agricultural, Biological, and Environmental Statistics|April 26, 2016
Hierarchical Modeling and Differential Expression Analysis for RNA-seq Experiments with Inbred and Hybrid GenotypesAndrew Lithio, Dan NettletonJournal of Agricultural, Biological, and Environmental Statistics|May 29, 2026
Identifying Relevant Covariates in RNA-seq Analysis by Pseudo-Variable AugmentationYet Nguyen, Dan NettletonGenetics|April 26, 2002
Investigating the probability of sign inconsistency in the regression coefficients of markers flanking quantitative trait lociJ T Gene Hwang, Dan NettletonPageof 753