Title: A districted neural network for start codon prediction

Authors: Liang Chen, Sharmin Nilufar

Addresses: Department of Computer Science, University of Northern British,Columbia, Prince George, BC V2N 4Z9, Canada. ' Department of Computer Science, University of Northern British,Columbia, Prince George, BC V2N 4Z9, Canada

Abstract: Following the theory on regional and national voting, we constructed a regional voting version NN from Pedersen-Nielsen|s NN for start codon prediction in nucleotide sequences. Experiments on the TIS data of vertebrate and Arabidopsis thaliana sequences showed improved performances (Matthews correlation coefficients) of 7% and 14% over the original NN.

Keywords: start codon prediction; nucleotide sequence; mRNA; robust; noisy environment; pattern classification; regional voting; bioinformatics; neural networks.

DOI: 10.1504/IJBRA.2005.007579

International Journal of Bioinformatics Research and Applications, 2005 Vol.1 No.2, pp.213 - 220

Published online: 06 Aug 2005 *

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