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Tumor phylogeny inference using tree-constrained importance sampling
MOTIVATION: A tumor arises from an evolutionary process that can be modeled as a phylogenetic tree. However, reconstructing this tree is challenging as most cancer sequencing uses bulk tumor tissue containing heterogeneous mixtures of cells. RESULTS: We introduce Probabilistic Algorithm for Somatic...
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| 出版年: | Bioinformatics |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5870673/ https://ncbi.nlm.nih.gov/pubmed/28882002 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx270 |
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