To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("MultiAssayExperiment")

In most cases, you don't need to download the package archive at all.

MultiAssayExperiment

Create Classes and Functions for Managing Multiple Assays on Sets of Samples

Bioconductor version: Release (3.4)

Develop an integrative environment where multiple assays are managed and preprocessed for genomic data analysis.

Author: MultiAssay SIG

Maintainer: Marcel Ramos <mramos09 at gmail.com>

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

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("MultiAssayExperiment")

HTML	R Script	Coordinating Analysis of Multi-Assay Experiments
HTML	R Script	HDF5Array and MultiAssayExperiment
HTML	R Script	MultiAssayExperiment: Prostate Cancer Data
PDF		Reference Manual
Text		NEWS

biocViews	DataRepresentation, Infrastructure, Software
Version	1.0.1
In Bioconductor since	BioC 3.4 (R-3.3) (0.5 years)
License	Artistic-2.0
Depends	R (>= 3.3.0)
Imports	methods, GenomicRanges(>= 1.25.93), BiocGenerics, SummarizedExperiment(>= 1.3.81), S4Vectors, IRanges, Biobase, shinydashboard, shiny, utils
LinkingTo
Suggests	BiocStyle, testthat, knitr, GenomicFiles, HDF5Array, rmarkdown
SystemRequirements
Enhances
URL
Depends On Me	yriMulti
Imports Me	GOpro
Suggests Me
Build Report

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

Package Source	MultiAssayExperiment_1.0.1.tar.gz
Windows Binary	MultiAssayExperiment_1.0.1.zip
Mac OS X 10.9 (Mavericks)	MultiAssayExperiment_1.0.1.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/MultiAssayExperiment/tree/release-3.4
Package Short Url	http://bioconductor.org/packages/MultiAssayExperiment/
Package Downloads Report	Download Stats

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