The NBP negative binomial model for assessing differential gene expression from RNA-Seq
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Publication:458211
DOI10.2202/1544-6115.1637zbMath1296.92026OpenAlexW1545338101WikidataQ56978590 ScholiaQ56978590MaRDI QIDQ458211
Yanming Di, Jason S. Cumbie, Jeff H. Chang, Daniel W. Schafer
Publication date: 7 October 2014
Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2202/1544-6115.1637
Related Items (5)
Bayesian analysis of RNA-Seq data using a family of negative binomial models ⋮ Modifying SAMseq to account for asymmetry in the distribution of effect sizes when identifying differentially expressed genes ⋮ Detecting differentially expressed genes with RNA-seq data using backward selection to account for the effects of relevant covariates ⋮ Uniformly consistently estimating the proportion of false null hypotheses via Lebesgue-Stieltjes integral equations ⋮ Modeling overdispersion heterogeneity in differential expression analysis using mixtures
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