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发布时间：2019-03-12

论文类型：会议论文

发表时间：2017-01-01

收录刊物：CPCI-S

卷号：2017-January

页面范围：2241-2243

关键字：motif recognition; random projection; particle swarm optimization

摘要：Motif recognition plays a significant role for understanding the biological meanings of sequences. In this paper, a particle swarm optimization and random projection based algorithm (PSORPS) is proposed for recognizing DNA motifs. First, noise subsequences are filtered by a random projection strategy for constructing objective space. Then the PSO is used to automatically search the motifs of DNA sequences in the constructed l-mer objective space. Finally, the operators of independent drift and associated drift are conducted on the optimization results to alleviate base deviation. The experiments are carried out on real-world biological datasets, and the results validate the effectiveness of the proposed algorithm.