Journal
BIOSTATISTICS
Volume 5, Issue 4, Pages 545-556Publisher
OXFORD UNIV PRESS
DOI: 10.1093/biostatistics/kxh007
Keywords
maximum likelihood; oncogenesis; tree model
Ask authors/readers for more resources
We present a new approach for modelling the dependences between genetic changes in human tumours. In solid tumours, data on genetic alterations are usually only available at a single point in time, allowing no direct insight into the sequential order of genetic events. In our approach, genetic turnout development and progression is assumed to follow a probabilistic tree model. We show how maximum likelihood estimation can be used to reconstruct a tree model for the dependences between genetic alterations in a given tumour type. We illustrate the use of the proposed method by applying it to cytogenetic data from 173 cases of clear cell renal cell carcinoma, arriving at a model for the karyotypic evolution of this tumour.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available