Application of wavelet-based tools to study the dynamics of biological processes
Research output: Contribution to journal › Journal article › Research › peer-review
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.
| Original language | English |
|---|---|
| Journal | Briefings in Bioinformatics |
| Volume | 7 |
| Issue number | 4 |
| Pages (from-to) | 375-89 |
| Number of pages | 15 |
| ISSN | 1467-5463 |
| DOIs | |
| Publication status | Published - 1 Dec 2006 |
- Animals, Computer Simulation, Hypertension, Mathematical Computing, Metabolic Networks and Pathways, Microscopy, Interference, Nephrons, Neurons, Oscillometry, Rats, Rats, Inbred SHR, Signal Processing, Computer-Assisted, Snails, Software, Trigeminal Nuclei
Research areas
ID: 33812570