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Inferring ongoing cancer evolution from single tumour biopsies using synthetic supervised learning
Variant allele frequencies (VAF) encode ongoing evolution and subclonal selection in growing tumours. However, existing methods that utilize VAF information for cancer evolutionary inference are compressive, slow, or incorrectly specify the underlying cancer evolutionary dynamics. Here, we provide a...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9049314/ https://www.ncbi.nlm.nih.gov/pubmed/35482653 http://dx.doi.org/10.1371/journal.pcbi.1010007 |