MANCIE: Matrix Analysis and Normalization by Concordant Information Enhancement
Version 1.4

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.

AuthorTao Wang, Chongzhi Zang
Date of publication2016-03-02 01:14:19
MaintainerTao Wang <tao.wang@utsouthwestern.edu>
LicenseGPL-2
Version1.4
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("MANCIE")

Popular man pages

mancie: Matrix Analysis and Normalization by Concordant Information...
mancie_example: The demo dataset for the 'MANCIE' package
summarize_mat: Summarize information in the supplementary matrix
See all...

All man pages Function index File listing

Man pages

mancie: Matrix Analysis and Normalization by Concordant Information...
mancie_example: The demo dataset for the 'MANCIE' package
summarize_mat: Summarize information in the supplementary matrix

Functions

Files

NAMESPACE
NEWS
data
data/mancie_example.rda
data/datalist
R
R/mancie.R
R/summarize_mat.R
R/get_nearby.R
MD5
DESCRIPTION
man
man/summarize_mat.Rd
man/mancie.Rd
man/mancie_example.Rd
MANCIE documentation built on May 19, 2017, 1:12 p.m.

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