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Hierarchical classification of G-protein-coupled receptors with a PSO/ACO algorithm

Holden, Nicholas, Freitas, Alex A. (2006) Hierarchical classification of G-protein-coupled receptors with a PSO/ACO algorithm. In: Proceedings of the IEEE Swarm Intelligence Symposium (SIS '06). . pp. 77-84. IEEE Press (KAR id:14466)

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Abstract

In our previous work we have proposed a hybrid Particle

algorithm for discovering classification rules. In this paper we

challenging hierarchical classification problem. This is a

Coupled Receptor’s (GPCR) hierarchical functional classes. We

versions of swarm intelligence algorithms – two versions based

PSO for discovering classification rules proposed in the

different kinds of protein signatures when used as predictor

attributes, namely Prints, Interpro and Prosite signatures.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: data mining, bioinformatics, classification, ant colony optimization, particle swarm optimization
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Sciences > School of Computing > Applied and Interdisciplinary Informatics Group
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:04 UTC
Last Modified: 04 Feb 2020 04:02 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/14466 (The current URI for this page, for reference purposes)
Freitas, Alex A.: https://orcid.org/0000-0001-9825-4700
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