Bioconductor version: Release (2.12)
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 ulb.ac.be>
Maintainer: David Venet <davenet at ulb.ac.be>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("SNAGEE")
To cite this package in a publication, start R and enter:
citation("SNAGEE")
R Script | SNAGEE Vignette | |
Reference Manual |
biocViews | Microarray, OneChannel, QualityControl, Software, TwoChannel |
Version | 1.0.0 |
In Bioconductor since | BioC 2.13 (R-2.18) |
License | Artistic-2.0 |
Depends | R (>= 2.6.0), SNAGEEdata |
Imports | |
Suggests | ALL, hgu95av2.db |
System Requirements | |
URL | http://bioconductor.org/ |
Depends On Me | |
Imports Me | |
Suggests Me | SNAGEEdata |
Package Source | SNAGEE_1.0.0.tar.gz |
Windows Binary | SNAGEE_1.0.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | SNAGEE_1.0.0.tgz |
Package Downloads Report | Download Stats |
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