R: An artificial probabilistic Boolean network

examplePBN {BoolNet} | R Documentation

## An artificial probabilistic Boolean network

### Description

An artificial probabilistic Boolean network example introduced by Shmulevich et al.

### Usage

    data(examplePBN)

### Details

This artificial network is introduced by Shmulevich et al. for a step-by-step description of their Markov chain algorithm. It is included as a general example for a probabilistic Boolean network. The network consists of 3 genes, where gene 1 and gene 3 have two alternative transition functions, and gene 1 has a unique transition function.

### Source

I. Shmulevich, E. R. Dougherty, S. Kim, W. Zhang (2002), Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks. Bioinformatics 18(2):261–274.

### Examples

    data(examplePBN)

    # the network is stored in a variable called 'examplePBN'
    print(examplePBN)

[Package BoolNet version 2.1.4 Index]