To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("massiR")

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

massiR

massiR: MicroArray Sample Sex Identifier

Bioconductor version: Release (3.1)

Predicts the sex of samples in gene expression microarray datasets

Author: Sam Buckberry

Maintainer: Sam Buckberry <sam.buckberry at adelaide.edu.au>

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

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("massiR")

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

browseVignettes("massiR")

PDF	R Script	massiR_Example
PDF		Reference Manual

biocViews	Classification, Clustering, GeneExpression, Microarray, QualityControl, Software
Version	1.4.0
In Bioconductor since	BioC 2.14 (R-3.1) (1.5 years)
License	GPL-3
Depends	cluster, gplots, diptest, Biobase, R (>= 3.0.2)
Imports
LinkingTo
Suggests	biomaRt, RUnit, BiocGenerics
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

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

Package Source	massiR_1.4.0.tar.gz
Windows Binary	massiR_1.4.0.zip
Mac OS X 10.6 (Snow Leopard)	massiR_1.4.0.tgz
Mac OS X 10.9 (Mavericks)	massiR_1.4.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/massiR/tree/release-3.1
Package Short Url	http://bioconductor.org/packages/massiR/
Package Downloads Report	Download Stats

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