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This package is for version 3.4 of Bioconductor;
for the stable, up-to-date release version, see
factDesign.
Factorial designed microarray experiment analysis
Bioconductor version: 3.4
This package provides a set of tools for analyzing data from a factorial designed microarray experiment, or any microarray experiment for which a linear model is appropriate. The functions can be used to evaluate tests of contrast of biological interest and perform single outlier detection.
Author: Denise Scholtens
Maintainer: Denise Scholtens <dscholtens at northwestern.edu>
Citation (from within R,
enter citation("factDesign")):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("factDesign")
Documentation
To view documentation for the version of this package installed
in your system, start R and enter:
browseVignettes("factDesign")
Details
Package Archives
Follow
Installation instructions to use this
package in your R session.
Read more here: Source link
