Neural Network Applications in Biological Sequencing

Neural Network Applications in Biological Sequencing

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by Faramarz Valafar

Venue:	Proceedings of the 2003 International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences. (METMBS’03) June 24-27, 2002. In print
Citations:	1 - 1 self

BibTeX

@INPROCEEDINGS{Valafar_neuralnetwork,
    author = {Faramarz Valafar},
    title = {Neural Network Applications in Biological Sequencing},
    booktitle = {Proceedings of the 2003 International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences. (METMBS’03) June 24-27, 2002. In print},
    year = {}
}

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Abstract

Abstract: The explosion in the production rate of expression level data has highlighted the need for automated techniques that help scientists analyze, understand, and cluster (sequence) the enormous amount of data that is being produced. Example of such problems are analyzing gene expression level data produced by microarray technology on the genomic scale, sequencing genes on the genomic scale, sequencing proteins and amino acids, etc. In this paper we review some of the artificial neural networks and related pattern recognition techniques that have been used in this area.

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