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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
DOI: 10.32614/CRAN.package.MANCIE
Author: Tao Wang, Chongzhi Zang
Maintainer: Tao Wang <tao.wang at utsouthwestern.edu>
License: GPL-2
NeedsCompilation: no
Materials: NEWS
CRAN checks: MANCIE results

Documentation:

Reference manual: MANCIE.pdf

Downloads:

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
macOS binaries: r-release (arm64): MANCIE_1.4.tgz, r-oldrel (arm64): MANCIE_1.4.tgz, r-release (x86_64): MANCIE_1.4.tgz, r-oldrel (x86_64): MANCIE_1.4.tgz
Old sources: MANCIE archive

Linking:

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These binaries (installable software) and packages are in development.
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