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.


Reference manual

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0.1.4 by Don Kang, 8 years ago

Browse source code at

Authors: Don Kang <[email protected]> and George Tseng <[email protected]>

Documentation:   PDF Manual  

Task views: Meta-Analysis

GPL-2 license

Depends on foreach

Suggests MASS, GEOquery, pcaPP, affy, hgu133plus2.db, doMC, doSMP, ellipse, impute

See at CRAN