Classification of genes based on gene expression analysis

Angelova, Maia, Myers, Chris and Faith, Joe (2008) Classification of genes based on gene expression analysis. Physics of Atomic Nuclei, 71 (5). pp. 780-787. ISSN 1063-7788

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Official URL: http://dx.doi.org/10.1134/S1063778808050025

Abstract

Systems biology and bioinformatics are now major fields for productive research. DNA microarrays and other array technologies and genome sequencing have advanced to the point that it is now possible to monitor gene expression on a genomic scale. Gene expression analysis is discussed and some important clustering techniques are considered. The patterns identified in the data suggest similarities in the gene behavior, which provides useful information for the gene functionalities. We discuss measures for investigating the homogeneity of gene expression data in order to optimize the clustering process. We contribute to the knowledge of functional roles and regulation of E. coli genes by proposing a classification of these genes based on consistently correlated genes in expression data and similarities of gene expression patterns. A new visualization tool for targeted projection pursuit and dimensionality reduction of gene expression data is demonstrated.

Item Type: Article
Subjects: C400 Genetics
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: EPrint Services
Date Deposited: 22 Jul 2009 12:01
Last Modified: 10 Aug 2015 11:30
URI: http://nrl.northumbria.ac.uk/id/eprint/3634

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