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.

Abstract

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 http://www.biochemsoctrans.org/bst/031/bst0311516.htm
• Status: Published
• Refereed: Yes
• 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: 0300-5127
• 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