Skip Navigation

Biostatistics 2004 5(4):545-556; doi:10.1093/biostatistics/kxh007
This Article
Right arrow FREE Full Text (PDF) Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Disclaimer
Google Scholar
Right arrow Articles by Heydebreck, A. v.
Right arrow Articles by Füzesi, L.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Heydebreck, A. v.
Right arrow Articles by Füzesi, L.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Biostatistics Vol. 5 No. 4 © Oxford University Press 2004; all rights reserved.

Maximum likelihood estimation of oncogenetic tree models

Anja von Heydebreck

Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, D-14195 Berlin, Germany
anja.von.heydebreck{at}merck.de

Bastian Gunawan and László Füzesi

Institute of Pathology, Georg August University Hospital, D–37075 Göttingen, Germany

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 tumour 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.

Keywords: Maximum likelihood; Oncogenesis; Tree model


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
 BioinformaticsHome page
M. Gerstung, M. Baudis, H. Moch, and N. Beerenwinkel
Quantifying cancer progression with conjunctive Bayesian networks
Bioinformatics, November 1, 2009; 25(21): 2809 - 2815.
[Abstract] [Full Text] [PDF]

Home page
 BiometrikaHome page
N. Beerenwinkel and S. Sullivant
Markov models for accumulating mutations
Biometrika, September 1, 2009; 96(3): 645 - 661.
[Abstract] [PDF]

Home page
 BloodHome page
T. Bochtler, U. Hegenbart, F. W. Cremer, C. Heiss, A. Benner, D. Hose, M. Moos, J. Bila, C. R. Bartram, A. D. Ho, et al.
Evaluation of the cytogenetic aberration pattern in amyloid light chain amyloidosis as compared with monoclonal gammopathy of undetermined significance reveals common pathways of karyotypic instability
Blood, May 1, 2008; 111(9): 4700 - 4705.
[Abstract] [Full Text] [PDF]

Home page
 BiostatisticsHome page
N. Beerenwinkel and M. Drton
A mutagenetic tree hidden Markov model for longitudinal clonal HIV sequence data
Biostat., January 1, 2007; 8(1): 53 - 71.
[Abstract] [Full Text] [PDF]

Home page
 JCOHome page
S. Bilke, Q.-R. Chen, F. Westerman, M. Schwab, D. Catchpoole, and J. Khan
Inferring a Tumor Progression Model for Neuroblastoma From Genomic Data
J. Clin. Oncol., October 10, 2005; 23(29): 7322 - 7331.
[Abstract] [Full Text] [PDF]

Home page
 BioinformaticsHome page
J. Rahnenfuhrer, N. Beerenwinkel, W. A. Schulz, C. Hartmann, A. von Deimling, B. Wullich, and T. Lengauer
Estimating cancer survival and clinical outcome based on genetic tumor progression scores
Bioinformatics, May 15, 2005; 21(10): 2438 - 2446.
[Abstract] [Full Text] [PDF]


Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.