examplePBN: An artificial probabilistic Boolean network

In BoolNet: Construction, Simulation and Analysis of Boolean Networks

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)

BoolNet documentation built on Oct. 2, 2023, 5:08 p.m.