Package: factDesign
Title: Factorial designed microarray experiment analysis
Version: 1.87.0
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: 2025-10-29 13:53:54 UTC
RemoteUrl: https://github.com/bioc/factDesign
RemoteRef: HEAD
RemoteSha: dc551b80f6981f922fd3a929d1d6114a2a5854e3
NeedsCompilation: no
Packaged: 2025-11-02 03:41:10 UTC; root
Built: R 4.6.0; ; 2025-11-02 03:43:25 UTC; windows
