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Techniques for clustering gene expression data

Kerr, Grainne and Ruskin, Heather J. and Crane, Martin and Doolan, Padraig (2008) Techniques for clustering gene expression data. Computers in Biology and Medicine, 38 (3). pp. 283-293. ISSN 0010-4825

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Abstract

Many clustering techniques have been proposed for the analysis of gene expression data obtained from microarray experiments. However, choice of suitable method(s) for a given experimental dataset is not straightforward. Common approaches do not translate well and fail to take account of the data profile. This review paper surveys state of the art applications which recognises these limitations and implements procedures to overcome them. It provides a framework for the evaluation of clustering in gene expression analyses. The nature of microarray data is discussed briefly. Selected examples are presented for the clustering methods considered.

Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:microarray data analysis; clustering techniques;
Subjects:Biological Sciences > Bioinformatics
DCU Faculties and Centres:Research Initiatives and Centres > National Institute for Cellular Biotechnology (NICB)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Publisher:Elsevier
Official URL:http://dx.doi.org/10.1016/j.compbiomed.2007.11.001
Copyright Information:Copyright © 2007 Elsevier Ltd All rights reserved.
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:National Institute for Cellular Biotechnology (PRTLI 3)
ID Code:4532
Deposited On:22 Apr 2009 16:39 by Martin Crane. Last Modified 22 Apr 2009 16:39

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