networkBMA

DOI: 10.18129/B9.bioc.networkBMA    

This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see networkBMA.

Regression-based network inference using Bayesian Model Averaging

Bioconductor version: 3.8

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, Ling-Hong Hung, Kaiyuan Shi, Ka Yee Yeung, Adrian Raftery (with contributions from Kenneth Lo)

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

Installation

To install this package, start R (version "3.5") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("networkBMA")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("networkBMA")

 

PDF	R Script	networkBMA
PDF		Reference Manual
Text		NEWS

Details

biocViews	Bayesian, GeneExpression, GeneTarget, GraphsAndNetwork, Network, NetworkInference, Software
Version	2.22.0
In Bioconductor since	BioC 2.11 (R-2.15) (6.5 years)
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), leaps
Imports
LinkingTo	Rcpp, RcppArmadillo, RcppEigen, BH
Suggests
SystemRequirements	liblapack-dev
Enhances
URL
Depends On Me
Imports Me
Suggests Me	DREAM4
Links To Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	networkBMA_2.22.0.tar.gz
Windows Binary	networkBMA_2.22.0.zip
Mac OS X 10.11 (El Capitan)	networkBMA_2.22.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/networkBMA
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/networkBMA
Package Short Url	http://bioconductor.org/packages/networkBMA/
Package Downloads Report	Download Stats