Analysis of gene expression: case study for bacteria

Angelova, Maia and Myers, Chris (2008) Analysis of gene expression: case study for bacteria. Journal of Physics Conference Series, 128 (1). pp. 1-11. ISSN 1742-6588

Full text not available from this repository. (Request a copy)
Official URL: http://dx.doi.org/10.1088/1742-6596/128/1/012030

Abstract

The analysis of gene expression allow to study the functions of genes and their roles in difierent processes in the cell of a living system, including the cell cycle. Clustering is widely used in the analysis of high-throughput gene expression data to flnd patterns of similarity that enable related gene groups and functions to be identifled. Clustering algorithms are very sensitive to the choice of initial conditions and optimal number of clusters. In this paper, we investigate the impact of metrics and cluster parametrisation for three clustering models and propose a method for optimisation of cluster parameters based on cluster compactness and separation. A case study presents the analysis of gene expression data for E.coli bacteria.

Item Type: Article
Subjects: C500 Microbiology
Department: Faculties > Engineering and Environment > Mathematics and Information Sciences
Related URLs:
Depositing User: EPrints Services
Date Deposited: 22 Jul 2009 11:45
Last Modified: 10 Aug 2015 11:30
URI: http://nrl.northumbria.ac.uk/id/eprint/2531

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics


Policies: NRL Policies | NRL University Deposit Policy | NRL Deposit Licence