Briefings in Bioinformatics Advance Access originally published online on November 21, 2006
Briefings in Bioinformatics 2006 7(4):375-389; doi:10.1093/bib/bbl041
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Application of wavelet-based tools to study the dynamics of biological processes
Corresponding author. Alexey N. Pavlov, Department of Physics, Saratov State University, Astrakhanskaya Str. 83, 410026, Saratov, Russia. E-mail: pavlov{at}chaos.ssu.runnet.ru
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.
Keywords: rhythmic activity, data analysis, interaction phenomena, information processing, double-wavelet approach
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