Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-36257
Barbour, A D; Tavaré, S (2010). Assessing molecular variability in cancer genomes. In: Bingham, N H; Goldie, C M; Kingman, J F C. Probability and mathematical genetics. Cambridge: Cambridge Univ. Press, 91-112.
The dynamics of tumour evolution are not well understood. In this paper we provide a statistical framework for evaluating the molecular variation observed in different parts of a colorectal tumour. A multi-sample version of the Ewens Sampling Formula forms the basis for our modelling of the data, and we provide a simulation procedure for use in obtaining reference distributions for the statistics of interest. We also describe the large-sample asymptotics of the joint distributions of the variation observed in different parts of the tumour. While actual data should be evaluated with reference to the simulation procedure, the asymptotics serve to provide theoretical guidelines, for instance with reference to the choice of possible statistics.
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|Item Type:||Book Section, refereed, original work|
|Communities & Collections:||07 Faculty of Science > Institute of Mathematics|
|Dewey Decimal Classification:||510 Mathematics|
|Deposited On:||23 Dec 2010 13:59|
|Last Modified:||05 Apr 2016 14:16|
|Publisher:||Cambridge Univ. Press|
|Series Name:||London Mathematical Society lecture note series|
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