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March 2003 Wavpred: A Wavelet-Based Algorithm for the Prediction of Transmembrane Proteins
Guy Baudoux, Patrick Fischer, Johan Wouters
Commun. Math. Sci. 1(1): 44-56 (March 2003).


Mathematical filtering using wavelet transform was applied to analyse hydropathy signals of membrane proteins. The accuracy of our localization of transmembrane approaches that of well-established methods. The analysis of hydrophobicity plots using wavelets presents advantages with respect to other "filtering" methods based on fixed windows or Fourier transforms and compared to "training" (neutral networks) techniques. Although the method embodies principles that have long been appreciated, its simplicity makes it a very useful tool for the evaluation of protein membrane-spanning segments. Generalization of use of wavelets should be encouraged in other aspects of bioinformatics.


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Guy Baudoux. Patrick Fischer. Johan Wouters. "Wavpred: A Wavelet-Based Algorithm for the Prediction of Transmembrane Proteins." Commun. Math. Sci. 1 (1) 44 - 56, March 2003.


Published: March 2003
First available in Project Euclid: 7 June 2005

zbMATH: 1079.92033
MathSciNet: MR1979842

Rights: Copyright © 2003 International Press of Boston

Vol.1 • No. 1 • March 2003
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