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Signal-to-Noise applied to Gene Expression Experiments

Bioconductor version: Release (3.19)

Signal-to-Noise applied to Gene Expression Experiments. Signal-to-noise ratios can be used as a proxy for quality of gene expression studies and samples. The SNRs can be calculated on any gene expression data set as long as gene IDs are available, no access to the raw data files is necessary. This allows to flag problematic studies and samples in any public data set.

Author: David Venet <davenet at>

Maintainer: David Venet <davenet at>

Citation (from within R, enter citation("SNAGEE")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

SNAGEE Vignette PDF R Script
Reference Manual PDF


biocViews Microarray, OneChannel, QualityControl, Software, TwoChannel
Version 1.44.0
In Bioconductor since BioC 2.12 (R-3.0) (11.5 years)
License Artistic-2.0
Depends R (>= 2.6.0), SNAGEEdata
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