To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("HIVcDNAvantWout03")
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This package is for version 3.1 of Bioconductor; for the stable, up-to-date release version, see HIVcDNAvantWout03.
Bioconductor version: 3.1
The expression levels of approximately 4600 cellular RNA transcripts were assessed in CD4+ T cell lines at different times after infection with HIV-1BRU using DNA microarrays. This data corresponds to the first block of a 12 block array image (001030_08_1.GEL) in the first data set (2000095918 A) in the first experiment (CEM LAI vs HI-LAI 24hr). There are two data sets, which are part of a dye-swap experiment with replicates, representing the Cy3 (green) absorption intensities for channel 1 (hiv1raw) and the Cy5 (red) absorption intensities for channel 2 (hiv2raw).
Author: Dr. Angelique van't Wout, Department of Microbiology, University of Washington
Maintainer: Chris Fraley <fraley at stat.washington.edu>
Citation (from within R,
enter citation("HIVcDNAvantWout03")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("HIVcDNAvantWout03")
Reference Manual |
biocViews | ExperimentData, HIVData, MicroarrayData, TwoChannelData |
Version | 1.8.0 |
License | GPL (>= 2) |
Depends | |
Imports | |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | http://expression.microslu.washington.edu/expression/vantwoutjvi2002.html |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | HIVcDNAvantWout03_1.8.0.tar.gz |
Windows Binary | |
Mac OS X 10.6 (Snow Leopard) | |
Mac OS X 10.9 (Mavericks) | |
Subversion source | (username/password: readonly) |
Package Short Url | http://bioconductor.org/packages/HIVcDNAvantWout03/ |
Package Downloads Report | Download Stats |
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