create prior knowledge netwoek edges from the given vector data

prior_network {bnlearn}

R Documentation

create prior knowledge netwoek edges from the given vector data

Description

Usage

prior_network(TF, target.gene, regulation.type, confidence, evidence);

Arguments

target.gene

regulation.type

a character vector of the regulation type of each regulatory edge, the value could be Unknown, Activator or Inhibitor

confidence

a numeric vector of the confidence score of each regulatory edge, which should be a value in the range [0,1]

evidence




        Details

        

        Authors

        biosystem

        Value

        a vector of the RegulatoryEdge regulatory edge data, all of the input vectors should be in the same size as the input TF vector, this generated edge collection can be used as the whitelist of the network structure learning via the bnlearn api, or be converted to a PriorNetwork object via the as.prior_net api.
clr value class
RegulatoryEdge

        Examples

        

        
        [Package bnlearn version 1.0.0.0 Index]