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The gene expression landscape of breast cancer is shaped by tumor protein p53 status and epithelial-mesenchymal transition
INTRODUCTION: Gene expression data derived from clinical cancer specimens provide an opportunity to characterize cancer-specific transcriptional programs. Here, we present an analysis delineating a correlation-based gene expression landscape of breast cancer that identifies modules with strong assoc...
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| Hoofdauteurs: | , , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
BioMed Central
2012
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3680939/ https://ncbi.nlm.nih.gov/pubmed/22839103 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/bcr3236 |
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