gPCA: Batch Effect Detection via Guided Principal Components Analysis

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This package implements guided principal components analysis for the detection of batch effects in high-throughput data.

Author
Sarah Reese
Date of publication
2013-07-31 17:55:22
Maintainer
Sarah Reese <reesese@vcu.edu>
License
GPL (>= 2)
Version
1.0

View on CRAN

Man pages

caseDat
Case study copy number variation data
CumulativeVarPlot
Plot of the Cumulative Variance due to the Principal...
gDist
Density/Distribution Plot for gPCA
gPCA.batchdetect
Guided Principal Components Analysis
gPCA-package
Batch Effect Detection via Guided Principal Components...
PCplot
Principal Component Plot

Files in this package

gPCA
gPCA/inst
gPCA/inst/doc
gPCA/inst/doc/gPCA.R
gPCA/inst/doc/gPCA.pdf
gPCA/inst/doc/gPCA.Rnw
gPCA/NAMESPACE
gPCA/data
gPCA/data/datalist
gPCA/data/caseDat.rda
gPCA/R
gPCA/R/gDist.R
gPCA/R/gPCA.batchdetect.R
gPCA/R/PCplot.R
gPCA/R/CumulativeVarPlot.R
gPCA/vignettes
gPCA/vignettes/gPCArefs.bib
gPCA/vignettes/my-plainnat.bst
gPCA/vignettes/Sweave.sty
gPCA/vignettes/gPCA.Rnw
gPCA/MD5
gPCA/DESCRIPTION
gPCA/man
gPCA/man/gPCA.batchdetect.Rd
gPCA/man/gPCA-package.Rd
gPCA/man/PCplot.Rd
gPCA/man/caseDat.Rd
gPCA/man/gDist.Rd
gPCA/man/CumulativeVarPlot.Rd