To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("SAGx")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 3.2
A package for retrieval, preparation and analysis of data from the Affymetrix GeneChip. In particular the issue of identifying differentially expressed genes is addressed.
Author: Per Broberg
Maintainer: Per Broberg, <pi.broberg at gmail.com>
Citation (from within R,
enter citation("SAGx")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("SAGx")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SAGx")
samroc - example | ||
Reference Manual |
biocViews | Clustering, DataImport, DifferentialExpression, GeneExpression, GeneSetEnrichment, KEGG, Microarray, MultipleComparison, OneChannel, Pathways, Preprocessing, Regression, Software |
Version | 1.44.0 |
In Bioconductor since | BioC 1.9 (R-2.4) (9.5 years) |
License | GPL-3 |
Depends | R (>= 2.5.0), stats, multtest, methods |
Imports | Biobase, stats4 |
LinkingTo | |
Suggests | KEGG.db, hu6800.db, MASS |
SystemRequirements | |
Enhances | |
URL | http://home.swipnet.se/pibroberg/expression_hemsida1.html |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | SAGx_1.44.0.tar.gz |
Windows Binary | SAGx_1.44.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | SAGx_1.44.0.tgz |
Mac OS X 10.9 (Mavericks) | SAGx_1.44.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/SAGx/tree/release-3.2 |
Package Short Url | http://bioconductor.org/packages/SAGx/ |
Package Downloads Report | Download Stats |
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