Fuzzy-adaptive-thresholding-based exon prediction

Agrawal, A and Mittal, A and Jain, R and Takkar, R (2010) Fuzzy-adaptive-thresholding-based exon prediction. International Journal of Computational Biology and Drug Design, 3 (4). pp. 311-333. ISSN 17560756

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Abstract

Thresholding is always critical and decisive in many bioinformatics problems. In this paper, we propose and apply a fuzzy-logic-based adaptive thresholding approach to a well-known solution for the exon prediction problem, which uses a threshold on the frequency component at f = 1/3 in the nucleotide sequence. The proposed approach allows the thresholds to vary along the data set based on the local statistical properties. Experiments and results on the nucleotide data of Saccharomyces cerevisiae (Bakers yeast) illustrate the advantage of our approach.

ISB Creators:
ISB CreatorsORCiD
Jain, RUNSPECIFIED
Item Type: Article
Uncontrolled Keywords: Adaptive thresholding; Exon; Fuzzy logic rules; Fuzzy sets; Gene; Intron; Nucleotide sequence; Period-3 component; Power spectral density
Subjects: Business and Management
Depositing User: Mohan Dass
Date Deposited: 13 Nov 2014 13:20
Last Modified: 13 Nov 2014 13:29
URI: http://eprints.exchange.isb.edu/id/eprint/255
Publisher URL: http:\\dx.doi.org/10.1504/IJCBDD.2010.038395
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