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Integrative Bayesian analysis identifies rhabdomyosarcoma disease genes
Identifying oncogenic drivers and tumor suppressors remains a challenge for many forms of cancer, including rhabdomyosarcoma. Anticipating gene expression alterations encrypted by DNA copy-number variants to be particularly important, we developed a computational and experimental strategy incorporat...
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| Publicado no: | Cell Rep |
|---|---|
| Main Authors: | , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7293769/ https://ncbi.nlm.nih.gov/pubmed/29972784 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.celrep.2018.06.006 |
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