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Identification of protein coding regions in genomic DNA using fuzzy Cellular Automata


T., Srinivasan and P., kiran Sree and C., Gautam Arjun (2006) Identification of protein coding regions in genomic DNA using fuzzy Cellular Automata. In: Knowledge Management International Conference and Exhibition 2006 (KMICE 2006), 6-8 June 2006, The Legend Hotel Kuala Lumpur.

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Abstract

Genes carry the instructions for making proteins that are found in a cell as a specific sequence of nucleotides that are found in DNA molecules.But, the regions of these genes that code for proteins may occupy only a small region of the sequence. Identifying the coding regions play a vital role in understanding these genes.In this paper we propose a Cellular Automata (CA)based pattern classifier to identify the coding region of a DNA sequence.CA is simple, efficient and produces more accurate classifier than that have previously been obtained for a range of different sequence lengths.Experimental results confirm the scalability of the proposed FCA based classifier to handle large volume of datasets irrespective of the number of classes, tuples and attributes.Good classification accuracy has been established.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN 983-3282-90-3 Organized by: Faculty of Information Technology, UUM
Uncontrolled Keywords: Cellular Automata (CA), Classifier, Genetic Algorithm(GA), DNA, Decision Tree, Fuzzy Cellular Automata(FCA), Coding Regions, Fuzzy Multiple Attractor Cellular Automata (FMACA), Pattern Classifier.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: College of Arts and Sciences
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 03 Jul 2014 04:37
Last Modified: 03 Jul 2014 04:37
URI: http://repo.uum.edu.my/id/eprint/11542

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