NDLI: Clustering microarray gene expression data using type 2 fuzzy logic

Content Provider	IEEE Xplore Digital Library
Author	Brintha, S.J. Bhuvaneswari, V.
Copyright Year	2012
Description	Author affiliation: Department of Computer Applications, Bharathiar University, Coimbatore, India (Brintha, S.J.; Bhuvaneswari, V.)
Abstract	Microarray technology helps biologists for monitoring expression of thousands of genes in a single experiment on a small chip. Microarray is also called as DNA chip, gene chip, or biochip is used to analyze gene expression. DNA microarrays are rapidly becoming a fundamental tool in genomic research. Bioinformatics and data mining provide exciting and challenging researches in several application areas especially in computational science. Bioinformatics is the science of managing, mining, and interpreting information from biological sequences and structures. Fuzzy Logic is a multivalued logic that allows intermediate values to be defined between conventional evaluations like true or false, yes or no, high or low, etc. Fuzzy inference rules are used to transform the gene expression levels of a given dataset into fuzzy values. In this paper, Type 2 fuzzy logic approach is used to fuzzify the microarray gene expression data. Then the clustering of genes is done by using clustering algorithms and the cluster results are compared with the proposed Type 2 fuzzy approach.
Starting Page	147
Ending Page	151
File Size	861414
Page Count	5
File Format	PDF
ISBN	9781457707490
e-ISBN	9781457707483
DOI	10.1109/NCETACS.2012.6203315
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-30
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Computers Fuzzy logic Accuracy Gene Expression Clustering algorithms Organizations Data Mining Data mining Microarray Bioinformatics
Content Type	Text
Resource Type	Article

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