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Prioritizing predictive biomarkers for gene essentiality in cancer cells with mRNA expression data and DNA copy number profile
MOTIVATION: Finding driver genes that are responsible for the aberrant proliferation rate of cancer cells is informative for both cancer research and the development of targeted drugs. The established experimental and computational methods are labor-intensive. To make algorithms feasible in real cli...
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| Veröffentlicht in: | Bioinformatics |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Oxford University Press
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6247930/ https://ncbi.nlm.nih.gov/pubmed/29912344 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty467 |
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