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A sequential Monte Carlo algorithm for inference of subclonal structure in cancer
Tumors are heterogeneous in the sense that they consist of multiple subpopulations of cells, referred to as subclones, each of which is characterized by a distinct profile of genomic variations such as somatic mutations. Inferring the underlying clonal landscape has become an important topic in that...
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| Publicado no: | PLoS One |
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| Principais autores: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6347199/ https://ncbi.nlm.nih.gov/pubmed/30682127 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0211213 |
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