To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("arrayMvout")

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

arrayMvout

multivariate outlier detection for expression array QA

Bioconductor version: 2.13

This package supports the application of diverse quality metrics to AffyBatch instances, summarizing these metrics via PCA, and then performing parametric outlier detection on the PCs to identify aberrant arrays with a fixed Type I error rate

Author: Z. Gao, A. Asare, R. Wang, V. Carey

Maintainer: V. Carey <stvjc at channing.harvard.edu>

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

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("arrayMvout")

Documentation

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

browseVignettes("arrayMvout")

 

PDF R Script arrayMvout -- multivariate outlier algorithm for expression arrays
PDF arrayMvout-asdad.pdf
PDF arrayMvout-lkadas.pdf
PDF arrayMvout-lkda.pdf
PDF   Reference Manual

Details

biocViews Bioinformatics, Infrastructure, Microarray, QualityControl, Software
Version 1.20.0
In Bioconductor since BioC 2.3 (R-2.8)
License Artistic-2.0
Depends R (>= 2.6.0), tools, methods, utils, parody, Biobase, affy, lumi
Imports simpleaffy, mdqc, affyContam
Suggests MAQCsubset, mvoutData, lumiBarnes, affyPLM, affydata, hgu133atagcdf
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source arrayMvout_1.20.0.tar.gz
Windows Binary arrayMvout_1.20.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) arrayMvout_1.20.0.tgz
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