期刊
GENOME BIOLOGY
卷 11, 期 9, 页码 -出版社
BIOMED CENTRAL LTD
DOI: 10.1186/gb-2010-11-9-r92
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资金
- UK Medical Research Council [G0701810]
- UK Engineering and Physical Sciences Research Council
- Wellcome Trust [075491/Z/04/Z]
- Hilton Ludwig Cancer Metastasis Initiative
- National Health and Medical Research Council [489418]
- Medical Research Council [G0500115, G0701810, MC_UP_A390_1107] Funding Source: researchfish
- MRC [G0500115, MC_UP_A390_1107, G0701810] Funding Source: UKRI
We describe a statistical method for the characterization of genomic aberrations in single nucleotide polymorphism microarray data acquired from cancer genomes. Our approach allows us to model the joint effect of polyploidy, normal DNA contamination and intra-tumour heterogeneity within a single unified Bayesian framework. We demonstrate the efficacy of our method on numerous datasets including laboratory generated mixtures of normal-cancer cell lines and real primary tumours.
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