The aim of the study was to develop a data analysis strategy capable of discovering the genetic background of radiosensitivity. Radiosensitivity is the relative susceptibility of cells, tissues, organs or organisms to the harmful effect of radiation. Effects of radiation include the mutation of DNA specialy in genes responsible for DNA repair. Identification of polymorphisms and genes responsible for an organismś radiosensitivity increases the knowledge about the cell cycle and the mechanism of radiosensitivity, possibly providing the researchers with a better understanding of the process of carcinogenesis. To obtain this results, mathematical modeling and data mining methods were used.
|Title of host publication||Man-Machine Interactions 3|
|Editors||Aleksandra Gruca, Tadeusz Czachórski, Stanisław Kozielski, Tadeusz Czachórski|
|Number of pages||9|
|Publication status||Published - 2014|
|Event||3rd International Conference on Man-Machine Interactions, ICMMI 2013 - Brenna, Poland|
Duration: 22 Oct 2013 → 25 Oct 2013
|Name||Advances in Intelligent Systems and Computing|
|Conference||3rd International Conference on Man-Machine Interactions, ICMMI 2013|
|Period||22/10/13 → 25/10/13|
Bibliographical notePublisher Copyright:
© Springer International Publishing Switzerland 2014.
- Data mining
- Mathematical modeling