期刊
BIOSTATISTICS
卷 5, 期 4, 页码 545-556出版社
OXFORD UNIV PRESS
DOI: 10.1093/biostatistics/kxh007
关键词
maximum likelihood; oncogenesis; tree model
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.
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