Neural network analysis of electrodynamic activity of yeast

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00184464" target="_blank" >RIV/68407700:21230/11:00184464 - isvavai.cz</a>
Result on the web
<a href="http://iopscience.iop.org/1742-6596/329/1/012037/pdf/1742-6596_329_1_012037.pdf" target="_blank" >http://iopscience.iop.org/1742-6596/329/1/012037/pdf/1742-6596_329_1_012037.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1088/1742-6596/329/1/012037" target="_blank" >10.1088/1742-6596/329/1/012037</a>

Result language
angličtina
Original language name
Neural network analysis of electrodynamic activity of yeast
Original language description
This paper deals with data analysis of electrodynamic activity of two mutants of yeast cells, cell cycle of which is synchronized and non-synchronized, respectively. We used data already published by Jelinek et al. and treat them with data mining methodbased on the multilayer neural network. Intersection of data mining and statistical distribution of the noise shows significant difference between synchronized and non- synchronized yeasts not only in total power, but also discrete frequencies.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BO - Biophysics
OECD FORD branch
—

Project
<a href="/en/project/NT11460" target="_blank" >NT11460: Intracranial EEG signal processing; epileptogenic zone identification in non-lesional refractory epilepsy patients</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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