Biology – Quantitative Biology – Populations and Evolution
Scientific paper
2010-04-13
Biology
Quantitative Biology
Populations and Evolution
22 pages, 1 figure. Chapter 4 of "Probability and Mathematical Genetics: Papers in Honour of Sir John Kingman" (Editors N.H. B
Scientific paper
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.
Barbour Andrew D.
Tavaré Simon
No associations
LandOfFree
Assessing molecular variability in cancer genomes does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Assessing molecular variability in cancer genomes, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Assessing molecular variability in cancer genomes will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-528438