To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("SNAGEE")
In most cases, you don't need to download the package archive at all.
SNAGEE
Signal-to-Noise applied to Gene Expression Experiments
Bioconductor version: 2.14
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>
Citation (from within R,
enter citation("SNAGEE")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("SNAGEE")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SNAGEE")
| R Script | SNAGEE Vignette | |
| Reference Manual |
Details
| biocViews | Microarray, OneChannel, QualityControl, Software, TwoChannel |
| Version | 1.4.0 |
| In Bioconductor since | BioC 2.12 (R-3.0) |
| 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 Archives
Follow Installation instructions to use this package in your R session.
| Package Source | SNAGEE_1.4.0.tar.gz |
| Windows Binary | SNAGEE_1.4.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | SNAGEE_1.4.0.tgz |
| Mac OS X 10.9 (Mavericks) | SNAGEE_1.4.0.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Counting Reads for Differential Expression (parathyroideSE vignette)
- Annotation
- Annotating Variants
- Annotating Ranges
- Flow Cytometry and other assays
- Candidate Binding Sites for Known Transcription Factors
- Cloud-enabled cis-eQTL search and annotation
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