Cart (Loading....) | Create Account
Close category search window

Feature selection from protein primary sequence database using Enhanced QuickReduct Fuzzy-Rough set

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Chandran, C.P. ; Dept. of Comput. Sci., Ayya Nadar Janaki Ammal Coll., Sivakasi

Feature extraction and feature selection have become an apparent need in many bioinformatics applications. In this paper, the features are extracted from protein primary single sequence database, based on amino acid composition and k-mer patterns or k-tuples and then feature selection is carried out from the extracted features. Since the rough QuickReduct is not yet applied for protein sequence data set, the enhanced QuickReduct feature selection (EQRFS) algorithm using fuzzy-rough set is proposed. Rough sets theory deals with uncertainty and vagueness of an information system in data mining. Fuzzy-rough based feature selection provides a means by which discrete or real-valued noisy data or a mixture of both can be effectively reduced. The experiments are carried out on protein primary single sequence data sets which are derived from PDB on SCOP classification, based on the structural class predictions such as all alpha, all beta, all alpha+beta and alpha/beta.

Published in:

Granular Computing, 2008. GrC 2008. IEEE International Conference on

Date of Conference:

26-28 Aug. 2008

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.