attractorSummary {ternarynet} | R Documentation

## Summarize Attractors

### Description

This function summarizes the posterior probability of possible attractors.

### Usage

    attractorSummary(tpost, post.prob.limit = 0.01, wildtype = TRUE)

### Arguments

`tpost` | a ternaryPost object
`post.prob.limit` | the minimum posterior probability for an attractor to be listed
`wildtype` | if TRUE, the wildtype attractors are summarized; if FALSE, the perturbed attractors are summarized.

### Value

The function returns a matrix of attractors and posterior probabilities for each perturbation.

### 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)
    attractorSummary(tnpostObj)

[Package ternarynet version 1.36.0 Index]