arrayMvout

multivariate outlier detection for expression array QA

Bioconductor version: 2.10

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>

To install this package, start R and enter:

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

To cite this package in a publication, start R and enter:

    citation("arrayMvout")

Documentation

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

Details

biocViews	Bioinformatics, Infrastructure, Microarray, QualityControl, Software
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
License	Artistic-2.0
URL
Depends On Me
Imports Me
Suggests Me
Version	1.14.0
Since	Bioconductor 2.3 (R-2.8)

Package Downloads

Package Source	arrayMvout_1.14.0.tar.gz
Windows Binary	arrayMvout_1.14.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	arrayMvout_1.14.0.tgz
Package Downloads Report	Download Stats

Workflows »

Common Bioconductor workflows include:

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Hosting provided by Fred Hutchinson Cancer Research Center