qpure: A Tool to Estimate Tumor Cellularity from Genome-Wide Single-Nucleotide Polymorphism Profiles

Tumour cellularity, the relative proportion of tumour and normal cells in a sample, affects the sensitivity of mutation detection, copy number analysis, cancer gene expression and methylation profiling. Tumour cellularity is traditionally estimated by pathological review of sectioned specimens; howe...

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Veröffentlicht in:	PloS one Jg. 7; H. 9; S. e45835
Hauptverfasser:	Song, Sarah, Nones, Katia, Miller, David, Harliwong, Ivon, Kassahn, Karin S., Pinese, Mark, Pajic, Marina, Gill, Anthony J., Johns, Amber L., Anderson, Matthew, Holmes, Oliver, Leonard, Conrad, Taylor, Darrin, Wood, Scott, Xu, Qinying, Newell, Felicity, Cowley, Mark J., Wu, Jianmin, Wilson, Peter, Fink, Lynn, Biankin, Andrew V., Waddell, Nic, Grimmond, Sean M., Pearson, John V.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 25.09.2012 Public Library of Science (PLoS)
Schlagworte:	Algorithms Biology Cancer Cell Line, Tumor Computational Biology - methods Copy number Correlation Deoxyribonucleic acid Discriminant analysis DNA DNA methylation Estimates Exons Experiments Gene expression Gene Expression Regulation Gene Frequency Genetic aspects Genetic testing Genome-Wide Association Study Genomes Genomics Heterogeneity Heterozygosity Humans K-Ras protein Lesions Loss of Heterozygosity Mathematical models Mathematics Medical research Medicine Models, Genetic Models, Statistical Mutation Pancreatic cancer Pancreatic Neoplasms - genetics Pancreatic Neoplasms - metabolism Parameter estimation Pathology Physiological aspects Polymorphism Polymorphism, Single Nucleotide Regression Analysis Reviews Sensitivity analysis Sequence Analysis, DNA Single nucleotide polymorphisms Single-nucleotide polymorphism Software Statistical analysis Statistical methods Statistical models Tumors Australia Queensland Australia St Lucia New South Wales Australia
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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