Application of wavelet-based tools to study the dynamics of biological processes
Application of wavelet-based tools to study the dynamics of biological processes
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DOI：
10.1093/bib/bbl041
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发表时间：
2006-12-01
影响因子：
9.5
通讯作者：
Sosnovtseva, Olga V.
中科院分区：
文献类型：
--
作者：
Pavlov, Alexey N.;Makarov, Valeri A.;Sosnovtseva, Olga V.
本文利用三个不同的例子（感觉信息处理在大鼠三叉神经复合体，蜗牛神经元和多模态动力学在肾单位自动调节的细胞内相互作用），以证明如何现代方法的小波变换的基础上的时间序列分析可以提供信息的基础复杂的生物过程。
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.