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 1756-0756

Full text not available from this repository. (Request a copy)


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.

Item Type: Article
Subjects: Applied Statistics and Computing
Date Deposited: 13 Nov 2014 13:20
Last Modified: 12 Jul 2023 20:17
URI: https://eprints.exchange.isb.edu/id/eprint/255

Actions (login required)

View Item
View Item