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Description
  • 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.
  • 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. (en)
Title
  • Brdicka Curve - a New Source of BioMarkers
  • Brdicka Curve - a New Source of BioMarkers (en)
skos:prefLabel
  • Brdicka Curve - a New Source of BioMarkers
  • Brdicka Curve - a New Source of BioMarkers (en)
skos:notation
  • RIV/68407700:21230/11:00189932!RIV12-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6840770012)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 188718
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/11:00189932
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Electrochemical signal; Metallothionein; Classification (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [252459F1C7D0]
http://linked.open...v/mistoKonaniAkce
  • Atlanta
http://linked.open...i/riv/mistoVydani
  • Piscataway
http://linked.open...i/riv/nazevZdroje
  • Bioinformatics and Biomedicine Workshops
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Adam, V.
  • Anýž, Jiří
  • Kizek, R.
  • Szabóová, Andrea
  • Vysloužilová, Lenka
  • Štěpánková, Olga
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/BIBMW.2011.6112374
http://purl.org/ne...btex#hasPublisher
  • Institute of Electrical and Electronic Engineers
https://schema.org/isbn
  • 978-1-4577-1611-9
http://localhost/t...ganizacniJednotka
  • 21230
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