graphPosterior {ternarynet} | R Documentation

## Network Topology

### Description

This function summarizes the topology of the ternary network using marginal edge probabilities.

### Usage

    graphPosterior(tpost)

### Arguments

`tpost` | a ternaryPost object

### Value

The function returns a matrix of marginal posterior probabilities of each possible network edge – rows are children and columns are parents. The first column represents no parents.

### Author(s)

Matthew N. McCall and Anthony Almudevar

### See Also

Almudevar A, McCall MN, McMurray H, Land H (2011). Fitting Boolean Networks from Steady State Perturbation Data, Statistical Applications in Genetics and Molecular Biology, 10(1): Article 47.

### Examples

    ssObj <- matrix(c(1,1,1,0,1,1,0,0,1),nrow=3)
    pObj <- matrix(c(1,0,0,0,1,0,0,0,1),nrow=3)
    rownames(ssObj) <- rownames(pObj) <- colnames(ssObj) <- colnames(pObj) <- c("Gene1","Gene2","Gene3")
    tnfitObj <- tnetfit(ssObj, pObj)
    tnpostObj <- tnetpost(tnfitObj, mdelta=10, msample=10)
    graphPosterior(tnpostObj)

[Package ternarynet version 1.36.0 Index]