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

被引：29
|
作者：
Pavlov, Alexey N.
Makarov, Valeri A.
Mosekilde, Erik
Sosnovtseva, Olga V.
机构：
[1] Saratov NG Chernyshevskii State Univ, Dept Phys, Saratov 410026, Russia
[2] Univ Complutense Madrid, Madrid, Spain
来源：
BRIEFINGS IN BIOINFORMATICS | 2006年 / 7卷 / 04期
关键词：
rhythmic activity; data analysis; interaction phenomena; information processing; double-wavelet approach;
D O I：
10.1093/bib/bbl041
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
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.
引用
收藏
页码：375 / 389
页数：15
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