基于小波的工具在生物过程动力学研究中的应用。
Application of wavelet-based tools to study the dynamics of biological processes.
作者信息
Pavlov Alexey N, Makarov Valeri A, Mosekilde Erik, Sosnovtseva Olga V
机构信息
Department of Physics, Saratov State University, Astrakhanskaya Str. 83, 410026 Saratov, Russia.
出版信息
Brief Bioinform. 2006 Dec;7(4):375-89. doi: 10.1093/bib/bbl041. Epub 2006 Nov 21.
PMID:17118945
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.
摘要
本文利用三个不同的例子（大鼠三叉神经复合体中的感觉信息处理、蜗牛神经元中的细胞内相互作用以及肾单位自动调节中的多模态动力学）来证明基于小波变换的现代时间序列分析方法如何能够提供有关潜在复杂生物过程的信息。
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