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...
Main Authors: | , , , , , , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2014-11-01
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Series: | Cell Reports |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2211124714009048 |