To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("davidTiling")
In most cases, you don't need to download the package archive at all.
This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see davidTiling.
Bioconductor version: 3.4
This package contains the data for the paper by L. David et al. in PNAS 2006 (PMID 16569694): 8 CEL files of Affymetrix genechips, an ExpressionSet object with the raw feature data, a probe annotation data structure for the chip and the yeast genome annotation (GFF file) that was used. In addition, some custom-written analysis functions are provided, as well as R scripts in the scripts directory.
Author: Wolfgang Huber <huber at ebi.ac.uk>, Joern Toedling <toedling at ebi.ac.uk>
Maintainer: Wolfgang Huber <huber at ebi.ac.uk>
Citation (from within R,
enter citation("davidTiling")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("davidTiling")
Follow Installation instructions to use this package in your R session.
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