Inference of transition probabilities between the attractors in Boolean networks with perturbation

Steven Watterson

doi:10.1109/GENSIPS.2009.5174376

Inference of transition probabilities between the attractors in Boolean networks with perturbation

Steven Watterson

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

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
Title of host publication	Unknown Host Publication
Publisher	IEEE
Number of pages	4
DOIs	https://doi.org/10.1109/GENSIPS.2009.5174376
Publication status	Published - 2009
Event	Genomic Signal Processing and Statistics, 2009. GENSIPS 2009. IEEE International Workshop - Duration: 1 Jan 2009 → …

Conference

Conference	Genomic Signal Processing and Statistics, 2009. GENSIPS 2009. IEEE International Workshop
Period	1/01/09 → …

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Keywords

logic
boolean network with perturbation
bnp

Cite this

Watterson, S. (2009). Inference of transition probabilities between the attractors in Boolean networks with perturbation. In Unknown Host Publication IEEE. https://doi.org/10.1109/GENSIPS.2009.5174376

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Access to Document

10.1109/GENSIPS.2009.5174376