The importance of distinct modeling strategies for gene and gene-specific treatment effects in hierarchical models for microarray data

DOI10.1214/12-AOAS535zbMath1454.62357arXiv1209.6493OpenAlexW2070654041MaRDI QIDQ714369

Dan Nettleton, Steven P. Lund

Publication date: 21 October 2012

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1209.6493

zbMATH Keywords

uncertaintyEM algorithmdifferential expressionrandom effectshierarchical models

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (2)

Hierarchical modeling and differential expression analysis for RNA-seq experiments with inbred and hybrid genotypes ⋮ The importance of distinct modeling strategies for gene and gene-specific treatment effects in hierarchical models for microarray data

Uses Software

• gaga
• EBarrays

Cites Work

• Unnamed Item
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• Mixture Modeling for Genome‐Wide Localization of Transcription Factors
• Exploration, normalization, and summaries of high density oligonucleotide array probe level data
• Detecting differential gene expression with a semiparametric hierarchical mixture method

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