@inproceedings{e3f40e62e8f84c728c1bbb73a6f47530,
title = "Investigation for genetic signatureof radiosensitivity – data analysis",
abstract = "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 organism{\'s} 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.",
keywords = "Adiosensitivity, Data mining, Mathematical modeling",
author = "Joanna Zyla and Paul Finnon and Robert Bulman and Simon Bouffler and Christophe Badie and Joanna Polanska",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.; 3rd International Conference on Man-Machine Interactions, ICMMI 2013 ; Conference date: 22-10-2013 Through 25-10-2013",
year = "2014",
doi = "10.1007/978-3-319-02309-0\_23",
language = "English",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "219--227",
editor = "Aleksandra Gruca and Tadeusz Czach{\'o}rski and Stanis{\l}aw Kozielski and Tadeusz Czach{\'o}rski",
booktitle = "Man-Machine Interactions 3",
address = "Germany",
}