MANCIE: Matrix Analysis and Normalization by Concordant Information Enhancement

High-dimensional data integration is a critical but difficult problem in genomics research because of potential biases from high-throughput experiments. We present MANCIE, a computational method for integrating two genomic data sets with homogenous dimensions from different sources based on a PCA procedure as an approximation to a Bayesian approach.

Version: 1.4
Depends: R (≥ 2.15.0)
Published: 2016-03-02
Author: Tao Wang, Chongzhi Zang
Maintainer: Tao Wang <tao.wang at utsouthwestern.edu>
License: GPL-2
NeedsCompilation: no
Materials: NEWS
CRAN checks: MANCIE results

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Reference manual: MANCIE.pdf
Package source: MANCIE_1.4.tar.gz
Windows binaries: r-devel: MANCIE_1.4.zip, r-release: MANCIE_1.4.zip, r-oldrel: MANCIE_1.4.zip
OS X El Capitan binaries: r-release: MANCIE_1.4.tgz
OS X Mavericks binaries: r-oldrel: MANCIE_1.4.tgz
Old sources: MANCIE archive

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