To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("ctsGE")
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 ctsGE.
Bioconductor version: 3.4
Methodology for supervised clustering of potentially many predictor variables, such as genes etc., in time series datasets Provides functions that help the user assigning genes to predefined set of model profiles.
Author: Michal Sharabi-Schwager [aut, cre], Ron Ophir [aut]
Maintainer: Michal Sharabi-Schwager <michalsharabi at gmail.com>
Citation (from within R,
enter citation("ctsGE")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("ctsGE")
Follow Installation instructions to use this package in your R session.
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