Independent Component Analysis Uncovers the Landscape of the Bladder Tumor Transcriptome and Reveals Insights into Luminal and Basal Subtypes

Extracting relevant information from large-scale data offers unprecedented opportunities in cancerology. We applied independent component analysis (ICA) to bladder cancer transcriptome data sets and interpreted the components using gene enrichment analysis and tumor-associated molecular, clinicopath...

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Bibliographic Details
Main Authors: Anne Biton, Isabelle Bernard-Pierrot, Yinjun Lou, Clémentine Krucker, Elodie Chapeaublanc, Carlota Rubio-Pérez, Nuria López-Bigas, Aurélie Kamoun, Yann Neuzillet, Pierre Gestraud, Luca Grieco, Sandra Rebouissou, Aurélien de Reyniès, Simone Benhamou, Thierry Lebret, Jennifer Southgate, Emmanuel Barillot, Yves Allory, Andrei Zinovyev, François Radvanyi
Format: Article
Language:English
Published: Elsevier 2014-11-01
Series:Cell Reports
Online Access:http://www.sciencedirect.com/science/article/pii/S2211124714009048