networkBMA

Regression-based network inference using Bayesian Model Averaging

Bioconductor version: Development (3.0)

An extension of Bayesian Model Averaging (BMA) for network construction using time series gene expression data. Includes assessment functions and sample test data.

Author: Chris Fraley, Wm. Chad Young, Ka Yee Yeung, Adrian Raftery (with contributions from Kenneth Lo)

Maintainer: Ka Yee Yeung <kayee at u.washington.edu>

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("networkBMA")

To cite this package in a publication, start R and enter:

    citation("networkBMA")

Documentation

PDF R Script networkBMA
PDF   Reference Manual
Text   NEWS

Details

biocViews GraphsAndNetworks, NetworkInference, Software
Version 1.7.0
In Bioconductor since BioC 2.11 (R-2.15)
License GPL (>= 2)
Depends R (>= 2.15.0), stats, utils, BMA, Rcpp (>= 0.10.3), RcppArmadillo (>= 0.3.810.2), RcppEigen (>= 0.3.1.2.1)
Imports
Suggests
System Requirements
URL
Depends On Me
Imports Me
Suggests Me DREAM4

Package Downloads

Package Source networkBMA_1.7.0.tar.gz
Windows Binary networkBMA_1.7.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) networkBMA_1.7.0.tgz
Mac OS X 10.9 (Mavericks)
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