BioConductor

ddgraph 1.20.0

Distinguish direct and indirect interactions with Graphical Modelling

Released Jan 27, 2015 by Robert Stojnic

This package cannot yet be used with Renjin it depends on other packages which are not available: pcalg 2.6-0

Dependencies

pcalg 2.6-0 graph 1.58.0 gtools 3.8.1 bnlearn 4.3 RColorBrewer 1.1-2 MASS 7.3-50 Rcpp plotrix 3.7-2

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.

Source

R
C++

Release History