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Dan Nettleton

Showing results (1-10 of 130) with videos related to

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The Plant Cell|September 14, 2006
A discussion of statistical methods for design and analysis of microarray experiments for plant scientistsDan Nettleton
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 Nettleton
Bioinformatics (Oxford, England)|March 1, 2015
SimSeq: a nonparametric approach to simulation of RNA-sequence datasetsSam Benidt, Dan Nettleton
Bioinformatics (Oxford, England)|May 26, 2020
rmRNAseq: differential expression analysis for repeated-measures RNA-seq dataYet Nguyen, Dan Nettleton
Biometrics|August 22, 2006
Identifying genes associated with a quantitative trait or quantitative trait locus via selective transcriptional profilingDong Wang, Dan Nettleton
Journal 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 Nettleton
Journal of Agricultural, Biological, and Environmental Statistics|May 29, 2026
Identifying Relevant Covariates in RNA-seq Analysis by Pseudo-Variable AugmentationYet Nguyen, Dan Nettleton
Genetics|April 26, 2002
Investigating the probability of sign inconsistency in the regression coefficients of markers flanking quantitative trait lociJ T Gene Hwang, Dan Nettleton
Journal of Agricultural, Biological, and Environmental Statistics|December 2, 2014
Estimation and Testing of Gene Expression HeterosisTieming Ji, Peng Liu, Dan Nettleton
Statistical 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 Nettleton
Pageof 13

Showing results (1-10 of 130) with videos related to

Sort By:
Pageof 13
The Plant Cell|September 14, 2006
A discussion of statistical methods for design and analysis of microarray experiments for plant scientistsDan Nettleton
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 Nettleton
Bioinformatics (Oxford, England)|March 1, 2015
SimSeq: a nonparametric approach to simulation of RNA-sequence datasetsSam Benidt, Dan Nettleton
Bioinformatics (Oxford, England)|May 26, 2020
rmRNAseq: differential expression analysis for repeated-measures RNA-seq dataYet Nguyen, Dan Nettleton
Biometrics|August 22, 2006
Identifying genes associated with a quantitative trait or quantitative trait locus via selective transcriptional profilingDong Wang, Dan Nettleton
Journal 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 Nettleton
Journal of Agricultural, Biological, and Environmental Statistics|May 29, 2026
Identifying Relevant Covariates in RNA-seq Analysis by Pseudo-Variable AugmentationYet Nguyen, Dan Nettleton
Genetics|April 26, 2002
Investigating the probability of sign inconsistency in the regression coefficients of markers flanking quantitative trait lociJ T Gene Hwang, Dan Nettleton
Journal of Agricultural, Biological, and Environmental Statistics|December 2, 2014
Estimation and Testing of Gene Expression HeterosisTieming Ji, Peng Liu, Dan Nettleton
Statistical 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 Nettleton
Pageof 13