R: Get a matrix of transitions and their probabilities in...

getTransitionProbabilities {BoolNet} | R Documentation

## Get a matrix of transitions and their probabilities in probabilistic Boolean networks

### Description

Retrieves the state transitions and their probabilities in a probabilistic Boolean network. This takes the transition table information calculated by the `markovSimulation` method.

### Usage

    getTransitionProbabilities(markovSimulation)

### Arguments

`markovSimulation` | An object of class `MarkovSimulation`, as returned by `markovSimulation`. As the transition table information in this structure is required, `markovSimulation` must be called with `returnTable` set to TRUE.

### Value

Returns a data frame with the first `n` columns describing the values of the genes before the transition, the next `n` columns describing the values of the genes after the transition, and the last column containing the probability of the transition. Here, `n` is the number of genes in the underlying network. Only transitions with non-zero probability are included.

### See Also

`markovSimulation`

### Examples

    # load example network
    data(examplePBN)

    # perform a Markov chain simulation
    sim <- markovSimulation(examplePBN)

    # print out the probability table
    print(getTransitionProbabilities(sim))

[Package BoolNet version 2.1.4 Index]