Investigation for genetic signatureof radiosensitivity – data analysis

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

doi:10.1007/978-3-319-02309-0_23

Investigation for genetic signatureof radiosensitivity – data analysis

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

Radiation Effects

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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 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 language	English
Title of host publication	Man-Machine Interactions 3
Editors	Aleksandra Gruca, Tadeusz Czachórski, Stanisław Kozielski, Tadeusz Czachórski
Publisher	Springer Verlag
Pages	219-227
Number of pages	9
ISBN (Electronic)	9783319023083
DOIs	https://doi.org/10.1007/978-3-319-02309-0_23
Publication status	Published - 2014
Event	3rd International Conference on Man-Machine Interactions, ICMMI 2013 - Brenna, Poland Duration: 22 Oct 2013 → 25 Oct 2013

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	242
ISSN (Print)	2194-5357

Conference

Conference	3rd International Conference on Man-Machine Interactions, ICMMI 2013
Country/Territory	Poland
City	Brenna
Period	22/10/13 → 25/10/13

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2014.

Keywords

Adiosensitivity
Data mining
Mathematical modeling

Access to Document

10.1007/978-3-319-02309-0_23

Cite this

Zyla, J., Finnon, P., Bulman, R., Bouffler, S., Badie, C., & Polanska, J. (2014). Investigation for genetic signatureof radiosensitivity – data analysis. In A. Gruca, T. Czachórski, S. Kozielski, & T. Czachórski (Eds.), Man-Machine Interactions 3 (pp. 219-227). (Advances in Intelligent Systems and Computing; Vol. 242). Springer Verlag. https://doi.org/10.1007/978-3-319-02309-0_23

@inproceedings{475a40fe43054b70aca3ccc05e3277c0,

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",

}

Zyla, J, Finnon, P, Bulman, R, Bouffler, S , Badie, C & Polanska, J 2014, Investigation for genetic signatureof radiosensitivity – data analysis. in A Gruca, T Czachórski, S Kozielski & T Czachórski (eds), Man-Machine Interactions 3. Advances in Intelligent Systems and Computing, vol. 242, Springer Verlag, pp. 219-227, 3rd International Conference on Man-Machine Interactions, ICMMI 2013, Brenna, Poland, 22/10/13. https://doi.org/10.1007/978-3-319-02309-0_23

Investigation for genetic signatureof radiosensitivity – data analysis. / Zyla, Joanna; Finnon, Paul; Bulman, Robert et al.
Man-Machine Interactions 3. ed. / Aleksandra Gruca; Tadeusz Czachórski; Stanisław Kozielski; Tadeusz Czachórski. Springer Verlag, 2014. p. 219-227 (Advances in Intelligent Systems and Computing; Vol. 242).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Investigation for genetic signatureof radiosensitivity – data analysis

AU - Zyla, Joanna

AU - Finnon, Paul

AU - Bulman, Robert

AU - Bouffler, Simon

AU - Badie, Christophe

AU - Polanska, Joanna

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2014.

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - Adiosensitivity

KW - Data mining

KW - Mathematical modeling

UR - http://www.scopus.com/inward/record.url?scp=84927582297&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-02309-0_23

DO - 10.1007/978-3-319-02309-0_23

M3 - Conference contribution

AN - SCOPUS:84927582297

T3 - Advances in Intelligent Systems and Computing

SP - 219

EP - 227

BT - Man-Machine Interactions 3

A2 - Gruca, Aleksandra

A2 - Czachórski, Tadeusz

A2 - Kozielski, Stanisław

A2 - Czachórski, Tadeusz

PB - Springer Verlag

T2 - 3rd International Conference on Man-Machine Interactions, ICMMI 2013

Y2 - 22 October 2013 through 25 October 2013

ER -

Investigation for genetic signatureof radiosensitivity – data analysis

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this