Meta-analysis of Cancer Gene Profiling Data.
Cancer Gene Profiling
Methods in molecular biology, January 2016
Janine Roy, Christof Winter, Michael Schroeder
Robert Grützmann, Christian Pilarsky
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.
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