MakePredictionsFromCG: make predictions from CG

In CausalR: Causal network analysis methods

Description

Create a matrix of predictions for a particular hypothesis - the output is a matrix containing the relationship between each node and the hypothesis. The hypothesis provided will be the vertex id of one of the nodes in the network (as an integer). The signOfHypothesis variable should be a 1 or -1, indicating up/down regulation

Usage

MakePredictionsFromCG(hypothesisnode, signOfHypothesis, network, delta,
  nodesInExperimentalData = NULL)

Arguments

hypothesisnode	a hypothesis node
signOfHypothesis	the direction of change of hypothesis node
network	a computational causal graph
delta	the number of edges across which the hypothesis should be followed
nodesInExperimentalData	the number of nodes in experimental data

Value

an matrix containing the relationship between each node and the hypothesis

Examples

network <- system.file(package='CausalR', 'extdata', 'testNetwork.sif')
cg <- CreateCG(network)
MakePredictionsFromCG('NodeA', +1, cg, 2)

CausalR documentation built on Nov. 8, 2020, 5:25 p.m.