Mass Spectrometry Diagnostic Software for Cancer Detection - Addressing Geographical Limitations
p. 395-404
Résumé
This paper presents steps required to detect a cancer disease based on data obtained from SELDI-TOF-MS. Here, the full process of detection : from raw data, through preprocessing towards classification has been outlined. Importantly, methods and algorithms are presented and described in terms of their usability. Moreover, based on the analysis software developed for the purpose of this work, comparison of classifiers performance based on preprocessing methods is conducted. Finally, guidelines for further research are indicated together with suggestions of how to apply the concept of 24/7 work organization to make the process of development and research faster.
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Référence papier
Martin Radlak et Ryszard Klempous, « Mass Spectrometry Diagnostic Software for Cancer Detection - Addressing Geographical Limitations », CASYS, 21 | 2008, 395-404.
Référence électronique
Martin Radlak et Ryszard Klempous, « Mass Spectrometry Diagnostic Software for Cancer Detection - Addressing Geographical Limitations », CASYS [En ligne], 21 | 2008, mis en ligne le 13 September 2024, consulté le 20 September 2024. URL : http://popups.lib.uliege.be/1373-5411/index.php?id=3300
Auteurs
Martin Radlak
School of Computer Science, University of Birmingham, Edgbaston, Bl5 2TT Birmingham,GB
Ryszard Klempous
Institute of Control and Optimization, Wroclaw University of Technology, ul. Wybrzee Wyspiaskiego 27, 50-370 Wroclaw, Poland