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Integrative modeling of multi-omics data to identify cancer drivers and infer patient-specific gene activity
BACKGROUND: High throughput technologies have been used to profile genes in multiple different dimensions, such as genetic variation, copy number, gene and protein expression, epigenetics, metabolomics. Computational analyses often treat these different data types as independent, leading to an explo...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4750289/ https://www.ncbi.nlm.nih.gov/pubmed/26864072 http://dx.doi.org/10.1186/s12918-016-0260-9 |