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Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005.

DOI: 10.1109/sis.2005.1501620

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DNA Motif Detection Using Particle Swarm Optimization and Expectation-Maximization

Journal article published in 2005 by C. T. Hardin, Eric C. Rouchka ORCID
This paper is available in a repository.
This paper is available in a repository.

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Abstract

Motif discovery, the process of discovering a meaningful pattern of nucleotides or amino acids that is shared by two or more molecules, is an important part of the study of gene function. In this paper, we propose a hybrid motif discovery approach based upon a combination of Particle Swarm Optimization (PSO) and the Expectation-Maximization (EM) algorithm. In the proposed algorithm, we use PSO to generate a seed for the EM algorithm.