marray

This is the development version of marray; for the stable release version, see marray.

Exploratory analysis for two-color spotted microarray data

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DOI: 10.18129/B9.bioc.marray

Bioconductor version: Development (3.23)

Class definitions for two-color spotted microarray data. Fuctions for data input, diagnostic plots, normalization and quality checking.

Author: Yee Hwa (Jean) Yang <jeany at maths.usyd.edu.au> with contributions from Agnes Paquet and Sandrine Dudoit.

Maintainer: Yee Hwa (Jean) Yang <jean at biostat.ucsf.edu>

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

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
 install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("marray")

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("marray")

marray Normalization PDF R Script

marray Overview PDF R Script

marrayClasses Overview PDF R Script

marrayClasses Tutorial (short) PDF R Script

marrayInput Introduction PDF R Script

marrayPlots Overview PDF R Script

Reference Manual PDF

LICENSE Text

Need some help? Ask on the Bioconductor Support site!

Details

biocViews Microarray, Preprocessing, Software, TwoChannel

Version 1.89.0

In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 20.5 years)

License LGPL

Depends R (>= 2.10.0), limma, methods

Imports

System Requirements

URL http://www.maths.usyd.edu.au/u/jeany/

Suggests tkWidgets

Linking To

Enhances

Depends On Me CGHbase, convert, dyebias, nnNorm, OLIN, RBM, stepNorm, TurboNorm, beta7, dyebiasexamples

Imports Me arrayQuality, ChAMP, methylPipe, MSstats, MSstatsShiny, nnNorm, OLIN, OLINgui, piano, stepNorm, timecourse

Suggests Me DEGraph, Mfuzz, hexbin

Links To Me

Build Report Build Report

Package Archives

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

Source Package marray_1.89.0.tar.gz

Windows Binary (x86_64) marray_1.89.0.zip

macOS Binary (x86_64) marray_1.89.0.tgz

macOS Binary (arm64) marray_1.89.0.tgz

Source Repository git clone https://git.bioconductor.org/packages/marray

Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/marray

Bioc Package Browser https://code.bioconductor.org/browse/marray/

Package Short Url https://bioconductor.org/packages/marray/

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