factDesign: Factorial designed microarray experiment analysis

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.

Getting started

Package details

AuthorDenise Scholtens
Bioconductor views DifferentialExpression Microarray
MaintainerDenise Scholtens <dscholtens@northwestern.edu>
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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factDesign documentation built on Nov. 8, 2020, 8:32 p.m.