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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

Automated Trend Analysis of Proteomics Data Using Intelligent Data Mining Architecture

McGarry, Kenneth, Malone, James and Bowerman, Chris (2006) Automated Trend Analysis of Proteomics Data Using Intelligent Data Mining Architecture. Expert Systems with Application, 30 (1). pp. 24-33. ISSN 09574174

Item Type: Article
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More Information

Depositing User: Rachel Webb

Identifiers

Item ID: 75
Identification Number: https://doi.org/10.1016/j.eswa.2005.09.047
ISSN: 09574174
URI: http://sure.sunderland.ac.uk/id/eprint/75

Users with ORCIDS

ORCID for Kenneth McGarry: ORCID iD orcid.org/0000-0002-9329-9835

Catalogue record

Date Deposited: 13 Jan 2010 10:48
Last Modified: 04 Jun 2025 15:29

Contributors

Author: Kenneth McGarry ORCID iD
Author: James Malone
Author: Chris Bowerman

University Divisions

Faculty of Business and Technology > School of Computer Science and Engineering
Faculty of Business and Technology

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