BoolNet (version 1.44)

examplePBN: An artificial probabilistic Boolean network

Description

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

Usage

data(examplePBN)

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.

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.

Examples

library(BoolNet)
data(examplePBN)

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