Estimation and testing of gene expression heterosis

DOI10.1007/s13253-014-0173-2zbMath1303.62077OpenAlexW1987047632WikidataQ34575219 ScholiaQ34575219MaRDI QIDQ489924

Tieming Ji, Dan Nettleton, Peng Liu

Publication date: 21 January 2015

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

Full work available at URL: https://doi.org/10.1007/s13253-014-0173-2

zbMATH Keywords

empirical Bayeshierarchical modelmixture modelmicroarraygene expressionheterosis

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Related Items (2)

A semi-parametric Bayesian approach for detection of gene expression heterosis with RNA-seq data ⋮ Empirical Bayes analysis of RNA-seq data for detection of gene expression heterosis

Uses Software

• Bioconductor
• edgeR
• DEseq
• QuasiSeq

Cites Work

• Detecting Differential Expression in RNA-sequence Data Using Quasi-likelihood with Shrunken Dispersion Estimates
• Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments
• Statistical significance for genomewide studies
• Exploration, normalization, and summaries of high density oligonucleotide array probe level data

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