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Automated deconvolution of structured mixtures from heterogeneous tumor genomic data
With increasing appreciation for the extent and importance of intratumor heterogeneity, much attention in cancer research has focused on profiling heterogeneity on a single patient level. Although true single-cell genomic technologies are rapidly improving, they remain too noisy and costly at presen...
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| Publicado no: | PLoS Comput Biol |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5695636/ https://ncbi.nlm.nih.gov/pubmed/29059177 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1005815 |
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