Meta-analysis of Cancer Gene Profiling Data
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The simultaneous measurement of thousands of genes gives the opportunity to personalize and improve cancer therapy. In addition, the integration of meta-data such as protein-protein interaction (PPI) information into the analyses helps in the identification and prioritization of genes from these screens.
Here, we describe a computational approach that identifies genes prognostic for outcome by combining gene profiling data from any source with a network of known relationships between genes.
Key wordsNetwork-based Outcome prediction Gene expression PageRank Cancerbiomarker
We kindly acknowledge funding from EU, DFG, BMWi (PPI-Marker, OpenScienceLink, SigSax, GeneCloud).