NDLI: Use of multiobjective differential fuzzy clustering with ANN classifier for unsupervised pattern classification: Application to microarray analysis

Content Provider	IEEE Xplore Digital Library
Author	Saha, I.
Copyright Year	2010
Description	Author affiliation: Interdisciplinary Centre for Mathematical and Computational, Modeling (ICM), University of Warsaw, 02-106, Poland (Saha, I.)
Abstract	Microarray technology has made it possible to monitor the expression levels of many genes simultaneously across a number of experimental conditions. Fuzzy clustering is an important tool for analyzing microarray gene expression data. However, this fact motivated us to present a new multiobjective evolutionary algorithm using differential evolution and artificial neural network (ANN) classifier for fuzzy clustering. The proposed approach has two-phases, in one phase, it optimizes multiple cluster validity measures simultaneously to get the resultant set of near-pareto-optimal solutions which contains number of nondominated solutions and in other phase, fraction of the data points selected from different clusters based on their proximity to the respective centres of each clusters for each of the nondominated solutions and thereafter fuzzy voting technique is used to generate the train data set for ANN classifier to classify the remaining data points. Our hybrid approach is tested for two publicly available benchmark microarray data sets. Our results are compared with respect to the multiobjective genetic fuzzy clustering algorithm that used NSGA-II, which is a state-of-the-art for MOEA. Also biological significance test has been carried out using a web based gene annotation tool to show that the proposed method is able to produce biologically relevant clusters of co-expressed genes.
Starting Page	647
Ending Page	656
File Size	1317672
Page Count	10
File Format	PDF
ISBN	9781424448395
ISSN	21511357
e-ISBN	9781424448401
DOI	10.1109/RCIS.2010.5507278
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-19
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	artificial neural network Phase measurement Artificial neural networks Evolutionary computation Gene expression Condition monitoring differential evolution Evolution (biology) Pattern classification Multiobjective optimization fuzzy clustering Fuzzy neural networks Pattern analysis Testing
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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