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,
    cutoff = 0.6);

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 RegulatoryEdge data. or this parameter value also could be the GRNBuildResult object which is created via the WGCNA module detection and the TF enrichment analysis, the regulatory edges of the prior network will be extracted from the given GRNBuildResult object.

cutoff

the cutoff value for filtering the regulatory edges. [as double]

env

the R# runtime environment object. [as Environment]

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

[Package bnlearn version 1.0.0.0 Index]