Article Abstract

	Title:	A districted neural network for start codon prediction
	Author:	Liang Chen, Sharmin Nilufar
	Address:	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
	Journal:	International Journal of Bioinformatics Research and Applications 2005 - Vol. 1, No.2  pp. 213 - 220
	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
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