Reverse engineering of genetic networks with Bayesian networks

Husmeier, D. (2003) Reverse engineering of genetic networks with Bayesian networks. Biochemical Society Transactions, 31(6), pp. 1516-1518.

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This paper provides a brief introduction to learning Bayesian networks from gene-expression data. The method is contrasted with other approaches to the reverse engineering of biochemical networks, and the Bayesian learning paradigm is briefly described. The article demonstrates an application to a simple synthetic toy problem and evaluates the inference performance in terms of ROC (receiver operator characteristic) curves.

Item Type:Articles
Additional Information:The final version of record is available at
Glasgow Author(s) Enlighten ID:Husmeier, Professor Dirk
Authors: Husmeier, D.
College/School:College of Science and Engineering > School of Mathematics and Statistics > Statistics
Journal Name:Biochemical Society Transactions
Publisher:Biochemical Society
ISSN (Online):1470-8752
Copyright Holders:Copyright © 2003 Biochemical Society
First Published:First published in Biochemical Society Transactions
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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