Article
Google goes cancer: improving outcome prediction for cancer patients by network-based ranking of marker genes.
PLoS computational biology - 1 Jan 2012
Winter Christof, Kristiansen Glen, Kersting Stephan, Roy Janine, Aust Daniela, Knösel Thomas, Rümmele Petra, Jahnke Beatrix, Hentrich Vera, Rückert Felix, Niedergethmann Marco, Weichert Wilko, Bahra Marcus, Schlitt Hans J, Settmacher Utz, Friess Helmut, Büchler Markus, Saeger Hans-Detlev, Schroeder Michael, Pilarsky Christian, Grützmann Robert
Abstract excerpt
Predicting the clinical outcome of cancer patients based on the expression of marker genes in their tumors has received increasing interest in the past decade. Accurate predictors of outcome and response to therapy could be used to personalize and thereby improve therapy. However, state of the art methods used so far often found marker genes with limited prediction accuracy, limited reproducibility, and unclear...
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