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...

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Detalles Bibliográficos
Autores principales: Shi, Zhiao, Derow, Catherine K, Zhang, Bing
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Research article
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

Internet

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

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