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Integrated structural variation and point mutation signatures in cancer genomes using correlated topic models
Mutation signatures in cancer genomes reflect endogenous and exogenous mutational processes, offering insights into tumour etiology, features for prognostic and biologic stratification and vulnerabilities to be exploited therapeutically. We present a novel machine learning formalism for improved sig...
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| Publicado no: | PLoS Comput Biol |
|---|---|
| Main Authors: | , , , , , , |
| 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/PMC6402697/ https://ncbi.nlm.nih.gov/pubmed/30794536 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1006799 |
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