ddgraph: Distinguish direct and indirect interactions with Graphical Modelling

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.

Package details

AuthorRobert Stojnic
Bioconductor views GraphAndNetwork
MaintainerRobert Stojnic <robert.stojnic@gmail.com>
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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ddgraph documentation built on Nov. 17, 2017, 10:50 a.m.