DOI: 10.18129/B9.bioc.networkBMA    

This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see networkBMA.

Regression-based network inference using Bayesian Model Averaging

Bioconductor version: 3.13

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>

Citation (from within R, enter citation("networkBMA")):


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biocViews Bayesian, GeneExpression, GeneTarget, GraphsAndNetwork, Network, NetworkInference, Software
Version 2.32.0
In Bioconductor since BioC 2.11 (R-2.15) (9 years)
License GPL (>= 2)
Depends R (>= 2.15.0), stats, utils, BMA, Rcpp (>= 0.10.3), RcppArmadillo (>= 0.3.810.2), RcppEigen (>=, leaps
LinkingTo Rcpp, RcppArmadillo, RcppEigen, BH
SystemRequirements liblapack-dev
Depends On Me
Imports Me
Suggests Me DREAM4
Links To Me
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