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BMC 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.Biometrics|February 6, 2013
Estimation of false discovery rate using sequential permutation p-valuesTim Bancroft, Chuanlong Du, Dan NettletonFrontiers in Plant Science|July 28, 2016
A Clade-Specific Arabidopsis Gene Connects Primary Metabolism and SenescenceDallas C Jones, Wenguang Zheng, Sheng Huang, et al.TAG. 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 90