Detecting Differential Expression in RNA-sequence Data Using Quasi-likelihood with Shrunken Dispersion Estimates
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Publication:100304
DOI10.1515/1544-6115.1826zbMath1296.92187OpenAlexW1490261451WikidataQ30574980 ScholiaQ30574980MaRDI QIDQ100304
Davis J. Mccarthy, Steven P. Lund, Gordon K. Smyth, Dan Nettleton, Gordon K. Smyth, Davis J McCarthy, Steven P. Lund, Dan Nettleton
Publication date: 22 October 2012
Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)
Full work available at URL: https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1227&context=stat_las_pubs
Related Items (7)
What if we ignore the random effects when analyzing RNA-seq data in a multifactor experiment ⋮ No counts, no variance: allowing for loss of degrees of freedom when assessing biological variability from RNA-seq data ⋮ Detecting differentially expressed genes with RNA-seq data using backward selection to account for the effects of relevant covariates ⋮ Estimation and testing of gene expression heterosis ⋮ Detecting rare and faint signals via thresholding maximum likelihood estimators ⋮ QuasiSeq ⋮ Modeling overdispersion heterogeneity in differential expression analysis using mixtures
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