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 organisms’ 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.
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Zyla, J., Finnon, P., Bulman, R., Bouffler, S., Badie, C., Polanska, J. (2014). Investigation for Genetic Signature of Radiosensitivity – Data Analysis. In: Gruca, D., Czachórski, T., Kozielski, S. (eds) Man-Machine Interactions 3. Advances in Intelligent Systems and Computing, vol 242. Springer, Cham. https://doi.org/10.1007/978-3-319-02309-0_23
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DOI: https://doi.org/10.1007/978-3-319-02309-0_23
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02308-3
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