Bayesian analysis of RNA-Seq data using a family of negative binomial models
type: Item
instance of: scholarly article
title: Bayesian analysis of RNA-Seq data using a family of negative binomial models
zbMATH Open document ID: 1407.62414
DOI: 10.1214/17-BA1055
author: Li-Li Zhao
author: Dai Feng
author: Hui Jiang
author: Wei-Sheng Wu
author: Xuanlong Nguyen
published in: Bayesian Analysis
publication date: 2018-12-06T00:00:00Z
full work available at URL: https://projecteuclid.org/euclid.ba/1491616976
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 92D20
zbMATH DE Number: 6989954
zbMATH Keywords: Bayesian RNA-seq
zbMATH Keywords: Chinese restaurant table distribution
zbMATH Keywords: differential test
zbMATH Keywords: exon usage
zbMATH Keywords: transcript analysis
zbMATH Keywords: negative binomial (NB) model
describes a project that uses: DESeq2
describes a project that uses: edgeR
describes a project that uses: BaySeq
describes a project that uses: EBSeq
describes a project that uses: TopHat
describes a project that uses: Bioconductor
describes a project that uses: ShrinkBayes
describes a project that uses: IUTA
describes a project that uses: rSeqDiff
MaRDI profile type: Publication
cites work: Logratio analysis and compositional distance.
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cites work: The NBP negative binomial model for assessing differential gene expression from RNA-Seq
cites work: Q4298922
cites work: Bayesian survival analysis
cites work: Semiparametric Bayesian Inference for Phage Display Data
cites work: Fully Bayesian mixture model for differential gene expression: simulations and model checks
cites work: Statistical modeling of RNA-Seq data
cites work: Statistical significance for genomewide studies
cites work: Asymptotic equivalence of Bayes cross validation and widely applicable information criterion in singular learning theory
OpenAlex ID: W2605274789
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description: scientific article; zbMATH DE number 6989954