https://popups.uliege.be/3041-539x/index.php?id=3306 Publications of Auteurs Martin Radlak fr 0 https://popups.uliege.be/3041-539x/index.php?id=3300 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. Fri, 13 Sep 2024 15:18:51 +0200 Fri, 13 Sep 2024 15:18:59 +0200 https://popups.uliege.be/3041-539x/index.php?id=3300