Investigation for genetic signatureof radiosensitivity – data analysis

Joanna Zyla, Paul Finnon, Robert Bulman, Simon Bouffler, Christophe Badie, Joanna Polanska

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)


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.

Original languageEnglish
Title of host publicationMan-Machine Interactions 3
EditorsAleksandra Gruca, Tadeusz Czachórski, Stanisław Kozielski, Tadeusz Czachórski
PublisherSpringer Verlag
Number of pages9
ISBN (Electronic)9783319023083
Publication statusPublished - 2014
Event3rd International Conference on Man-Machine Interactions, ICMMI 2013 - Brenna, Poland
Duration: 22 Oct 201325 Oct 2013

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357


Conference3rd International Conference on Man-Machine Interactions, ICMMI 2013

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2014.


  • Adiosensitivity
  • Data mining
  • Mathematical modeling


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