Work

DNA motif detection using particle swarm optimization and expectation-maximization

Year: 2005

Type: conference-paper

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.

Source: IEEE Swarm Intelligence Symposium

DOI: 10.1109/sis.2005.1501620

Authors: C.T. Hardin, E.C. Rouchka

Institution: University of Louisville

Language: English

Topic: Genomics and Chromatin Dynamics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

Funders: National Institute of General Medical Sciences, National Center for Research Resources

Awards: KY IDeA Networks of Biomedical Research Excellence, IDeA Networks of Biomedical Research Excellence in Kentucky