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Application of wavelet-based tools to study the dynamics of biological processes

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Makarov, Valeri A. and Pavlov, Alexey N. and Mosekilde, Erik and Sosnovtseva, Olga V. (2006) Application of wavelet-based tools to study the dynamics of biological processes. Briefings in Bioinformatics, 7 (4). pp. 375-389. ISSN 1467-5463

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Official URL: http://bib.oxfordjournals.org/content/7/4/375.full.pdf+html


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Abstract

The article makes use of three different examples (sensory information processing in the rat trigeminal complex, intracellular interaction in snail neurons and multimodal dynamics in nephron autoregulation) to demonstrate how modern approaches to time-series analysis based on the wavelet-transform can provide information about the underlying complex biological processes.


Item Type:Article
Uncontrolled Keywords:Rhythmic activity; Data analysis; Interaction phenomena; Information processing; Double-wavelet approach
Subjects:Sciences > Computer science > Computer programming
ID Code:16748
Deposited On:18 Oct 2012 10:00
Last Modified:12 Dec 2018 15:07

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