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

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.

Version: 0.1.4
Depends: R (≥ 2.10.0), foreach
Suggests: MASS, GEOquery, pcaPP, affy, hgu133plus2.db, doMC, doSMP, ellipse, impute
Published: 2011-06-15
Author: Don Kang and George Tseng
Maintainer: Don Kang <donkang75 at gmail.com>
License: GPL-2
URL: https://github.com/donkang75/MetaPCA
NeedsCompilation: no
In views: MetaAnalysis
CRAN checks: MetaPCA results

Downloads:

Reference manual: MetaPCA.pdf
Package source: MetaPCA_0.1.4.tar.gz
MacOS X binary: MetaPCA_0.1.4.tgz
Windows binary: MetaPCA_0.1.4.zip
Old sources: MetaPCA archive