基于粒子群优化和期望最大化的DNA基序检测。

Proceedings of the ... IEEE Swarm Intelligence Symposium. IEEE Swarm Intelligence Symposium Pub Date : 2005-06-08 DOI:10.1109/SIS.2005.1501620

C T Hardin, Eric C Rouchka

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引用次数: 0

摘要

基序发现是发现两个或多个分子共有的核苷酸或氨基酸的有意义的模式的过程，是基因功能研究的重要组成部分。本文提出了一种基于粒子群优化（PSO）和期望最大化（EM）算法相结合的混合基序发现方法。在提出的算法中，我们使用粒子群算法为EM算法生成种子。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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DNA Motif Detection Using Particle Swarm Optimization and Expectation-Maximization.

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.

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Proceedings of the ... IEEE Swarm Intelligence Symposium. IEEE Swarm Intelligence Symposium

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