build prior network object based on a given vector of the knowledge network edges data

as.prior_net {bnlearn}

R Documentation

build prior network object based on a given vector of the knowledge network edges data

Description

Usage

as.prior_net(priorNet);

Arguments

priorNet

a collection of the regulatory edge data, which can be a vector of the RegulatoryEdge object, the output of the prior_network api, or a pipeline object that produces a set of the @T:SMRUCC.genomics.Analysis.BNLearn.Core.RegulatoryEdge

env

[as Environment]




        Details

        

        Authors

        biosystem

        Value

        a PriorNetwork object that contains all of the given regulatory edges, the TF name set and the target gene name set;

this function returns a R# error message object if the given data can not be cast to a collection of the RegulatoryEdge data.
clr value class
PriorNetwork

        Examples

        

        
        [Package bnlearn version 1.0.0.0 Index]