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.

Package details

AuthorDon Kang <> and George Tseng <>
MaintainerDon Kang <>
Package repositoryView on CRAN
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MetaPCA documentation built on May 2, 2019, 11:03 a.m.