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Meta-analysis of cancer gene profiling data

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Abstract

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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Roy, J., Winter, C., & Schroeder, M. (2016). Meta-analysis of cancer gene profiling data. In Methods in Molecular Biology (Vol. 1381, pp. 211–222). Humana Press Inc. https://doi.org/10.1007/978-1-4939-3204-7_12

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