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

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

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