CytoBayesJ
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CytoBayesJ : software tools for Bayesian analysis of cytogenetic radiation dosimetry data. / Ainsbury, Elizabeth A; Vinnikov, Volodymyr; Puig, Pedro; Maznyk, Nataliya; Rothkamm, Kai; Lloyd, David C.
In: MUTAT RES-FUND MOL M, Vol. 756, No. 1-2, 30.08.2013, p. 184-91.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
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TY - JOUR
T1 - CytoBayesJ
T2 - software tools for Bayesian analysis of cytogenetic radiation dosimetry data
AU - Ainsbury, Elizabeth A
AU - Vinnikov, Volodymyr
AU - Puig, Pedro
AU - Maznyk, Nataliya
AU - Rothkamm, Kai
AU - Lloyd, David C
N1 - Copyright © 2013 Elsevier B.V. All rights reserved.
PY - 2013/8/30
Y1 - 2013/8/30
N2 - A number of authors have suggested that a Bayesian approach may be most appropriate for analysis of cytogenetic radiation dosimetry data. In the Bayesian framework, probability of an event is described in terms of previous expectations and uncertainty. Previously existing, or prior, information is used in combination with experimental results to infer probabilities or the likelihood that a hypothesis is true. It has been shown that the Bayesian approach increases both the accuracy and quality assurance of radiation dose estimates. New software entitled CytoBayesJ has been developed with the aim of bringing Bayesian analysis to cytogenetic biodosimetry laboratory practice. CytoBayesJ takes a number of Bayesian or 'Bayesian like' methods that have been proposed in the literature and presents them to the user in the form of simple user-friendly tools, including testing for the most appropriate model for distribution of chromosome aberrations and calculations of posterior probability distributions. The individual tools are described in detail and relevant examples of the use of the methods and the corresponding CytoBayesJ software tools are given. In this way, the suitability of the Bayesian approach to biological radiation dosimetry is highlighted and its wider application encouraged by providing a user-friendly software interface and manual in English and Russian.
AB - A number of authors have suggested that a Bayesian approach may be most appropriate for analysis of cytogenetic radiation dosimetry data. In the Bayesian framework, probability of an event is described in terms of previous expectations and uncertainty. Previously existing, or prior, information is used in combination with experimental results to infer probabilities or the likelihood that a hypothesis is true. It has been shown that the Bayesian approach increases both the accuracy and quality assurance of radiation dose estimates. New software entitled CytoBayesJ has been developed with the aim of bringing Bayesian analysis to cytogenetic biodosimetry laboratory practice. CytoBayesJ takes a number of Bayesian or 'Bayesian like' methods that have been proposed in the literature and presents them to the user in the form of simple user-friendly tools, including testing for the most appropriate model for distribution of chromosome aberrations and calculations of posterior probability distributions. The individual tools are described in detail and relevant examples of the use of the methods and the corresponding CytoBayesJ software tools are given. In this way, the suitability of the Bayesian approach to biological radiation dosimetry is highlighted and its wider application encouraged by providing a user-friendly software interface and manual in English and Russian.
KW - Algorithms
KW - Bayes Theorem
KW - Chromosome Aberrations/radiation effects
KW - Chromosomes, Human/radiation effects
KW - Cytogenetic Analysis/methods
KW - Humans
KW - Radiation Dosage
KW - Radiation Monitoring/methods
KW - Software
U2 - 10.1016/j.mrgentox.2013.06.005
DO - 10.1016/j.mrgentox.2013.06.005
M3 - SCORING: Journal article
C2 - 23792213
VL - 756
SP - 184
EP - 191
IS - 1-2
ER -
