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Learning mutational graphs of individual tumour evolution from single-cell and multi-region sequencing data
Abstract Background A large number of algorithms is being developed to reconstruct evolutionary models of individual tumours from genome sequencing data. Most methods can analyze multiple samples collected either through bulk multi-region sequencing experiments or the sequencing of individual cancer...
Gorde:
| Egile Nagusiak: | , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
BMC
2019-04-01
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| Saila: | BMC Bioinformatics |
| Gaiak: | |
| Sarrera elektronikoa: | http://link.springer.com/article/10.1186/s12859-019-2795-4 |
| Etiketak: |
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