Package: factDesign
Title: Factorial designed microarray experiment analysis
Version: 1.89.0
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
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:30:17 UTC
RemoteUrl: https://github.com/bioc/factDesign
RemoteRef: HEAD
RemoteSha: a4d3c25cb9ee959747c1ace63a3acc57d6ab9f90
NeedsCompilation: no
Packaged: 2026-06-16 11:53:28 UTC; root