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. Software Depends: R (>= 2.10.0), foreach Suggests: MASS, GEOquery, pcaPP, affy, hgu133plus2.db, doMC, doSMP, ellipse, impute Don Kang <donkang75@gmail.com> Don Kang <donkang75@gmail.com> and George Tseng <ctseng@pitt.edu> GPL-2 2011-06-15 application/tgz http://CRAN.R-project.org/package=MetaPCA