DOI: 10.18129/B9.bioc.ddgraph    

This package is for version 3.6 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see ddgraph.

Distinguish direct and indirect interactions with Graphical Modelling

Bioconductor version: Release (3.6)

Distinguish direct from indirect interactions in gene regulation and infer combinatorial code from highly correlated variables such as transcription factor binding profiles. The package implements the Neighbourhood Consistent PC algorithm (NCPC) and draws Direct Dependence Graphs to represent dependence structure around a target variable. The package also provides a unified interface to other Graphical Modelling (Bayesian Network) packages for distinguishing direct and indirect interactions.

Author: Robert Stojnic

Maintainer: Robert Stojnic <robert.stojnic at gmail.com>

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PDF R Script Overview of the 'ddgraph' package
PDF   Reference Manual
Text   NEWS


biocViews GraphAndNetwork, Software
Version 1.21.0
In Bioconductor since BioC 2.11 (R-2.15) (5.5 years)
License GPL-3
Depends graph, methods, Rcpp
Imports bnlearn (>= 2.8), gtools, pcalg, RColorBrewer, plotrix, MASS
LinkingTo Rcpp
Suggests Rgraphviz, e1071, ROCR, testthat
Depends On Me
Imports Me
Suggests Me
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Source Package ddgraph_1.21.0.tar.gz
Windows Binary ddgraph_1.21.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) ddgraph_1.21.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/ddgraph
Package Short Url http://bioconductor.org/packages/ddgraph/
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