Inferring a tumor progression model for neuroblastoma from genomic data.

  title={Inferring a tumor progression model for neuroblastoma from genomic data.},
  author={Sven Bilke and Qing-Rong Chen and Frank Westerman and Manfred Schwab and Daniel R. Catchpoole and Javed Khan},
  journal={Journal of clinical oncology : official journal of the American Society of Clinical Oncology},
  volume={23 29},
PURPOSE The knowledge of the key genomic events that are causal to cancer development and progression not only is invaluable for our understanding of cancer biology but also may have a direct clinical impact. The task of deciphering a model of tumor progression by requiring that it explains (or at least does not contradict) known clinical and molecular evidence can be very demanding, particularly for cancers with complex patterns of clinical and molecular evidence. MATERIALS AND METHODS We… CONTINUE READING
Highly Cited
This paper has 22 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.
Showing 1-10 of 14 extracted citations


Publications referenced by this paper.
Showing 1-10 of 45 references

Neuroblastoma: biological insights into a clinical enigma

Nature Reviews Cancer • 2003
View 4 Excerpts
Highly Influenced

Genome-wide analysis of DNA copy-number Bilke et al 7330 JOURNAL OF CLINICAL ONCOLOGY Copyright © 2005 by the American Society of Clinical Oncology

JR Pollack, CM Perou, AA Alizadeh
All rights reserved. Downloaded from at NIH LIBRARY on October • 2005
View 1 Excerpt

Maximum likelihood estimation of oncogenetic tree models

A von Heydebreck, B Gunawan, L Fuzesi
Biostatistics 5:545-556, • 2004