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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Bibliographic Details
Main Authors: Fredlund, Erik, Staaf, Johan, Rantala, Juha K, Kallioniemi, Olli, Borg, Åke, Ringnér, Markus
Format: Artigo
Language:Inglês
Published: BioMed Central 2012
Subjects:
Research Article
Online Access: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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