The gene regulatory network for breast cancer: integrated regulatory landscape of cancer hallmarks

In this study, we infer the breast cancer gene regulatory network from gene expression data. This network is obtained from the application of the BC3Net inference algorithm to a large-scale gene expression data set consisting of 351 patient samples. In order to elucidate the functional relevance of...

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Detalles Bibliográficos
Autores principales: Emmert-Streib, Frank, de Matos Simoes, Ricardo, Mullan, Paul, Haibe-Kains, Benjamin, Dehmer, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3909882/
https://www.ncbi.nlm.nih.gov/pubmed/24550935
http://dx.doi.org/10.3389/fgene.2014.00015

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3909882/
https://www.ncbi.nlm.nih.gov/pubmed/24550935
http://dx.doi.org/10.3389/fgene.2014.00015

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