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Wavelet analysis of gene expression (WAGE)

Turkheimer, F.E, Duke, Dawn, Moran, L.B and Graeber, M.B. (2005) Wavelet analysis of gene expression (WAGE) IEEE. pp. 1183-1186.

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The wavelet transform (WT) is the mathematical operator of choice for the analysis of nonstationary signals. At the same time, it is also a modelling operator that may be used to impose functional constraints on data to unveil hidden groupings and relationships. In this work, we apply the WT to the chromosomal sequences of gene expression values measured with microarray technology. The application of the wavelet operator aims to uncover clusters of genes that interact by vicinity, either because of a shared regulatory mechanism or because of common susceptibility to environmental factors. Application of the method to data on the expression of human brain genes in neuro-degeneration validates the technique and, at the same time, illustrates the potential of the method.

Item Type: Article
Divisions : Researcher Development Programme
Authors :
Turkheimer, F.E
Moran, L.B
Graeber, M.B.
Date : 7 March 2005
OA Location : 10.1109/ISBI.2004.1398755
Copyright Disclaimer : © 2005 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords : Wavelet analysis, Gene expression, Remuneration, Biological cells, Probes, Diseases, Wavelet transforms, Environmental factors, Humans, Genomics
Depositing User : Jane Hindle
Date Deposited : 22 Jun 2017 14:06
Last Modified : 16 Jan 2019 18:53

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