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Co-expression module analysis reveals biological processes, genomic gain, and regulatory mechanisms associated with breast cancer progression
BACKGROUND: Gene expression signatures are typically identified by correlating gene expression patterns to a disease phenotype of interest. However, individual gene-based signatures usually suffer from low reproducibility and interpretability. RESULTS: We have developed a novel algorithm Iterative C...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2902438/ https://www.ncbi.nlm.nih.gov/pubmed/20507583 http://dx.doi.org/10.1186/1752-0509-4-74 |