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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...
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| 出版年: | BMC Syst Biol |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2016
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4750289/ https://ncbi.nlm.nih.gov/pubmed/26864072 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12918-016-0260-9 |
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