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 o...

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Bibliographic Details
Main Authors: Frank eEmmert-Streib, Ricardo eDe Matos Simoes, Paul eMullan, Benjamin eHaibe-Kains, Matthias eDehmer
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-02-01
Series:Frontiers in Genetics
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fgene.2014.00015/full