Indexed by:会议论文

Date of Publication:2017-01-01

Included Journals:CPCI-S

Volume:2017-January

Page Number:2241-2243

Key Words:motif recognition; random projection; particle swarm optimization

Abstract: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.