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Quantifying tumor heterogeneity in whole-genome and whole-exome sequencing data

Motivation: Most tumor samples are a heterogeneous mixture of cells, including admixture by normal (non-cancerous) cells and subpopulations of cancerous cells with different complements of somatic aberrations. This intra-tumor heterogeneity complicates the analysis of somatic aberrations in DNA sequ...

詳細記述

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書誌詳細
出版年:Bioinformatics
主要な著者: Oesper, Layla, Satas, Gryte, Raphael, Benjamin J.
フォーマット: Artigo
言語:Inglês
出版事項: Oxford University Press 2014
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4253833/
https://ncbi.nlm.nih.gov/pubmed/25297070
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btu651
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