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Identification of cancer genes that are independent of dominant proliferation and lineage programs
Large, multidimensional cancer datasets provide a resource that can be mined to identify candidate therapeutic targets for specific subgroups of tumors. Here, we analyzed human breast cancer data to identify transcriptional programs associated with tumors bearing specific genetic driver alterations....
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| Veröffentlicht in: | Proc Natl Acad Sci U S A |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
National Academy of Sciences
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5748209/ https://ncbi.nlm.nih.gov/pubmed/29229826 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1714877115 |
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