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In silico modeling predicts drug sensitivity of patient-derived cancer cells
BACKGROUND: Glioblastoma (GBM) is an aggressive disease associated with poor survival. It is essential to account for the complexity of GBM biology to improve diagnostic and therapeutic strategies. This complexity is best represented by the increasing amounts of profiling (“omics”) data available du...
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| Главные авторы: | , , , , , , , , , , , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2014
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4030016/ https://ncbi.nlm.nih.gov/pubmed/24884660 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1479-5876-12-128 |
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