Inferring tumor progression in large datasets
نویسندگان
چکیده
منابع مشابه
Inferring tumor progression from genomic heterogeneity.
Cancer progression in humans is difficult to infer because we do not routinely sample patients at multiple stages of their disease. However, heterogeneous breast tumors provide a unique opportunity to study human tumor progression because they still contain evidence of early and intermediate subpopulations in the form of the phylogenetic relationships. We have developed a method we call Sector-...
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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, particular...
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MOTIVATION One of the mutational processes that has been monitored genome-wide is the occurrence of regional DNA copy number alterations (CNAs), which may lead to deletion or over-expression of tumor suppressors or oncogenes, respectively. Understanding the relationship between CNAs and different cancer types is a fundamental problem in cancer studies. RESULTS This article develops an efficie...
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ژورنال
عنوان ژورنال: PLOS Computational Biology
سال: 2020
ISSN: 1553-7358
DOI: 10.1371/journal.pcbi.1008183