## Abstract / Description of output

This paper investigates the inference of Boolean networks with perturbation (BNp) from simulated data and observed data. We interpret the discretised gene expression levels as attractor states of the underlying network and use the sequence of attractor states to determine the model. We consider the case where a complete sequence of attractors is known and the case where the known attractor states are arrived at by sampling from an underlying sequence of attractors. We apply the resulting algorithm to the interferon regulatory network using gene expression data taken from murine bone-derived macrophage cells infected with cytomegalovirus.

Original language | English |
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Title of host publication | 2009 IEEE INTERNATIONAL WORKSHOP ON GENOMIC SIGNAL PROCESSING AND STATISTICS (GENSIPS 2009) |

Place of Publication | NEW YORK |

Publisher | Institute of Electrical and Electronics Engineers (IEEE) |

Pages | 100-103 |

Number of pages | 4 |

ISBN (Print) | 978-1-4244-4531-8 |

Publication status | Published - 2009 |

Event | 7th IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS 2009) - Minneapolis Duration: 17 May 2009 → 19 May 2009 |

### Conference

Conference | 7th IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS 2009) |
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City | Minneapolis |

Period | 17/05/09 → 19/05/09 |

## Keywords / Materials (for Non-textual outputs)

- GENE REGULATORY NETWORKS
- MODEL