Package: factDesign
Title: Factorial designed microarray experiment analysis
Version: 1.63.0
Author: Denise Scholtens
Description: 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.
Depends: Biobase (>= 2.5.5)
Imports: stats
Suggests: affy, genefilter, multtest
Maintainer: Denise Scholtens <dscholtens@northwestern.edu>
License: LGPL
biocViews: Microarray, DifferentialExpression
git_url: https://git.bioconductor.org/packages/factDesign
git_branch: master
git_last_commit: fdcef4b
git_last_commit_date: 2019-10-29
Date/Publication: 2019-11-08
NeedsCompilation: no
Packaged: 2019-11-09 01:43:29 UTC; biocbuild
Built: R 4.0.0; ; 2019-11-09 09:43:05 UTC; windows
