Application of wavelet-based tools to study the dynamics of biological processes
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Application of wavelet-based tools to study the dynamics of biological processes. / Pavlov, Alexey N; Makarov, Valeri A; Mosekilde, Erik; Sosnovtseva, Olga.
In: Briefings in Bioinformatics, Vol. 7, No. 4, 01.12.2006, p. 375-89.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Application of wavelet-based tools to study the dynamics of biological processes
AU - Pavlov, Alexey N
AU - Makarov, Valeri A
AU - Mosekilde, Erik
AU - Sosnovtseva, Olga
PY - 2006/12/1
Y1 - 2006/12/1
N2 - 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.
AB - 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.
KW - Animals
KW - Computer Simulation
KW - Hypertension
KW - Mathematical Computing
KW - Metabolic Networks and Pathways
KW - Microscopy, Interference
KW - Nephrons
KW - Neurons
KW - Oscillometry
KW - Rats
KW - Rats, Inbred SHR
KW - Signal Processing, Computer-Assisted
KW - Snails
KW - Software
KW - Trigeminal Nuclei
U2 - 10.1093/bib/bbl041
DO - 10.1093/bib/bbl041
M3 - Journal article
C2 - 17118945
VL - 7
SP - 375
EP - 389
JO - Briefings in Bioinformatics
JF - Briefings in Bioinformatics
SN - 1467-5463
IS - 4
ER -
ID: 33812570