daMA (original) (raw)

This is the released version of daMA; for the devel version, seedaMA.

Efficient design and analysis of factorial two-colour microarray data

Bioconductor version: Release (3.21)

This package contains functions for the efficient design of factorial two-colour microarray experiments and for the statistical analysis of factorial microarray data. Statistical details are described in Bretz et al. (2003, submitted)

Author: Jobst Landgrebe and Frank Bretz

Maintainer: Jobst Landgrebe

Citation (from within R, enter citation("daMA")):

Installation

To install this package, start R (version "4.5") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("daMA")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Details

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Follow Installation instructions to use this package in your R session.