Brdicka Curve - a New Source of BioMarkers

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00189932" target="_blank" >RIV/68407700:21230/11:00189932 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6112374" target="_blank" >http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6112374</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/BIBMW.2011.6112374" target="_blank" >10.1109/BIBMW.2011.6112374</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Brdicka Curve - a New Source of BioMarkers

Popis výsledku v původním jazyce

This paper is devoted to analysis of voltammograms resulting from Brdicka reaction - these graphs are used for determination of content of metallothioneins (MT) in tissue samples most often. We describe our search for typical patterns in the considered curves motivated by our intention to identify their characteristic properties that would make it possible to distinguish among voltammograms produced by samples taken from different body parts. We suggest a rather compact representation of information contained in the considered graphs that is based on Haar's Simple Wavelet transformation. The resulting representation is successfully tested for classification of real data obtained from 8 rats and their 9 body parts. The preliminary experiments confirm that the suggested derived attributes of Brdicka curves seem to be good candidates for becoming numerical biomarkers exhibiting an important advantage: the process leading to their calculation can be fully automated.

Název v anglickém jazyce

Brdicka Curve - a New Source of BioMarkers

Popis výsledku anglicky

This paper is devoted to analysis of voltammograms resulting from Brdicka reaction - these graphs are used for determination of content of metallothioneins (MT) in tissue samples most often. We describe our search for typical patterns in the considered curves motivated by our intention to identify their characteristic properties that would make it possible to distinguish among voltammograms produced by samples taken from different body parts. We suggest a rather compact representation of information contained in the considered graphs that is based on Haar's Simple Wavelet transformation. The resulting representation is successfully tested for classification of real data obtained from 8 rats and their 9 body parts. The preliminary experiments confirm that the suggested derived attributes of Brdicka curves seem to be good candidates for becoming numerical biomarkers exhibiting an important advantage: the process leading to their calculation can be fully automated.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

—

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Bioinformatics and Biomedicine Workshops

ISBN

978-1-4577-1611-9

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

193-198

Název nakladatele

Institute of Electrical and Electronic Engineers

Místo vydání

Piscataway

Místo konání akce

Atlanta

Datum konání akce

12. 11. 2011

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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