Empirical Bayes analysis of RNA-seq data for detection of gene expression heterosis

DOI10.1007/s13253-015-0230-5zbMath1329.62447OpenAlexW1874336812WikidataQ28959158 ScholiaQ28959158MaRDI QIDQ906083

Jarad Niemi, Will Landau, Dan Nettleton, Eric Mittman

Publication date: 29 January 2016

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4852395

zbMATH Keywords

parallel computinghierarchical modelRNA-seqnegative binomialBayesian Lassohybrid vigor

Mathematics Subject Classification ID

Related Items (3)

A semi-parametric Bayesian approach for detection of gene expression heterosis with RNA-seq data ⋮ Fully Bayesian analysis of allele-specific RNA-seq data ⋮ Testing Sparsity-Inducing Penalties

Uses Software

• R
• Bioconductor
• edgeR
• doMC
• Stan
• BaySeq
• plyr
• RStan
• ShrinkBayes

Cites Work

• Unnamed Item
• Estimation and testing of gene expression heterosis
• Inference from iterative simulation using multiple sequences
• Statistical analysis of next generation sequencing data
• Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
• The Bayesian Lasso
• Bayesian lasso regression

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