Friday, 20 Sep, 2019

011-28082485

011-47044510

+91-9899775880

Extraction of Protein Sequence Motif Information using PSO K-Means

Journal of Network and Information Security

Volume 2 Issue 2

Published: 2014
Author(s) Name: R. Gowri, R. Rathipriya | Author(s) Affiliation: Department of Computer Science, Periyar University, Salem, Tamil Nadu, India.
Locked Subscribed Available for All

Abstract

The main objective of the paper is to find the motif information.The functionalities of the proteins are ideally found from their motif information which is extracted using various techniques like clustering with k-means, hybrid k-means, self-organizing maps, etc., in the literature. In this work protein sequence information is extracted using optimized k-means algorithm. The particle swarm optimization technique is one of the frequently used optimization method. In the current work the PSO k-means is used for motif information extraction. This paper also deals with the comparison between the motif information obtained from clusters and biclustersusing PSO k-means algorithm. The motif information acquired is based on the structure homogeneity of the protein sequence.

Keywords: Biclustering, Clustering, PSO K-Means, Protein Motifs

View PDF

Refund policy | Privacy policy | Copyright Information | Contact Us | Feedback © Publishingindia.com, All rights reserved