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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Bibliografiset tiedot
Julkaisussa:Bioinformatics
Päätekijät: Satas, Gryte, Raphael, Benjamin J
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Oxford University Press 2017
Aiheet:
Ismb/Eccb 2017: The 25th Annual Conference Intelligent Systems for Molecular Biology Held Jointly with the 16th Annual European Conference on Computational Biology, Prague, Czech Republic, July 21–25, 2017
Linkit: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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