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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 en: | PLoS One |
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| Autores principales: | , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| Acceso en línea: | 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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