MetaPCA: MetaPCA: Meta-analysis in the Dimension Reduction of Genomic data

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MetaPCA implements simultaneous dimension reduction using PCA when multiple studies are combined. We propose two basic ideas to find a common PC subspace by eigenvalue maximization approach and angle minimization approach, and we extend the concept to incorporate Robust PCA and Sparse PCA in the meta-analysis realm.

Author
Don Kang <donkang75@gmail.com> and George Tseng <ctseng@pitt.edu>
Date of publication
2011-06-15 18:49:55
Maintainer
Don Kang <donkang75@gmail.com>
License
GPL-2
Version
0.1.4
URLs

View on CRAN

Man pages

DropDupGenes
MetaPCA: Meta-analysis in the Dimension Reduction of Genomic...
MetaPCA
MetaPCA: Meta-analysis in the Dimension Reduction of Genomic...
MetaPCA-package
MetaPCA: Meta-analysis in the Dimension Reduction of Genomic...
PlotPC2D
MetaPCA: Meta-analysis in the Dimension Reduction of Genomic...
PreprocessMetaAnalysis
MetaPCA: Meta-analysis in the Dimension Reduction of Genomic...
prostate
4 prostate cancer studies
requireAll
MetaPCA: Meta-analysis in the Dimension Reduction of Genomic...
Spellman
4 Spellman cancer studies

Files in this package

MetaPCA
MetaPCA/data
MetaPCA/data/datalist
MetaPCA/data/prostate.rda
MetaPCA/data/Spellman.rda
MetaPCA/DESCRIPTION
MetaPCA/man
MetaPCA/man/DropDupGenes.Rd
MetaPCA/man/MetaPCA-package.Rd
MetaPCA/man/MetaPCA.Rd
MetaPCA/man/PlotPC2D.Rd
MetaPCA/man/PreprocessMetaAnalysis.Rd
MetaPCA/man/prostate.Rd
MetaPCA/man/requireAll.Rd
MetaPCA/man/Spellman.Rd
MetaPCA/NAMESPACE
MetaPCA/R
MetaPCA/R/DropDupGenes.R
MetaPCA/R/functions.R
MetaPCA/R/MetaPCA.R
MetaPCA/R/PlotPC2D.R
MetaPCA/R/PreprocessMetaAnalysis.R
MetaPCA/R/requireAll.R