Keywords
BioconductorCount dataNegative binomial distributionBarcodeBiologyStatisticsBinomial distributionComputational biologyComputer scienceMathematicsGeneticsGene
Affiliated Institutions
Related Publications
Moderated statistical tests for assessing differences in tag abundance
Abstract Motivation: Digital gene expression (DGE) technologies measure gene expression by counting sequence tags. They are sensitive technologies for measuring gene expression ...
ComBat-seq: batch effect adjustment for RNA-seq count data
Abstract The benefit of integrating batches of genomic data to increase statistical power is often hindered by batch effects, or unwanted variation in data caused by differences...
<tt>edgeR</tt> : a Bioconductor package for differential expression analysis of digital gene expression data
Abstract Summary: It is expected that emerging digital gene expression (DGE) technologies will overtake microarray technologies in the near future for many functional genomics a...
limma powers differential expression analyses for RNA-sequencing and microarray studies
© The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. limma is an R/Bioconductor software package that provides an integrated solution ...
Detecting Differential Expression in RNA-sequence Data Using Quasi-likelihood with Shrunken Dispersion Estimates
Abstract Next generation sequencing technology provides a powerful tool for measuring gene expression (mRNA) levels in the form of RNA-sequence data. Method development for iden...
Publication Info
- Year
- 2010
- Type
- article
- Volume
- 11
- Issue
- 10
- Pages
- R106-R106
- Citations
- 15935
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
15935
OpenAlex
Cite This
Simon Anders,
Wolfgang Huber
(2010).
Differential expression analysis for sequence count data.
Genome biology
, 11
(10)
, R106-R106.
https://doi.org/10.1186/gb-2010-11-10-r106
Identifiers
- DOI
- 10.1186/gb-2010-11-10-r106