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Signal-to-Noise applied to Gene Expression Experiments

Bioconductor version: 2.13

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>

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PDF R Script SNAGEE Vignette
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biocViews Microarray, OneChannel, QualityControl, Software, TwoChannel
Version 1.2.0
In Bioconductor since BioC 2.12 (R-3.0)
License Artistic-2.0
Depends R (>= 2.6.0), SNAGEEdata
Suggests ALL, hgu95av2.db
System Requirements
Depends On Me
Imports Me
Suggests Me SNAGEEdata

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