MakePredictionsFromCG {CausalR} | R Documentation |
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
MakePredictionsFromCG(hypothesisnode, signOfHypothesis, network, delta, nodesInExperimentalData = NULL)
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 |
an matrix containing the relationship between each node and the hypothesis
network <- system.file(package='CausalR', 'extdata', 'testNetwork.sif') cg <- CreateCG(network) MakePredictionsFromCG('NodeA', +1, cg, 2)