Data from: Significance Analysis of Prognostic Signatures

Andrew H. Beck, Nicholas W. Knoblauch, Marco M. Hefti, Jennifer Kaplan, Stuart J. Schnitt, Aedin C. Culhane, Markus S. Schroeder, John Quackenbush, Benjamin Haibe-Kains & Thomas Risch
A major goal in translational cancer research is to identify biological signatures driving cancer progression and metastasis. A common technique applied in genomics research is to cluster patients using gene expression data from a candidate prognostic gene set, and if the resulting clusters show statistically significant outcome stratification, to associate the gene set with prognosis, suggesting its biological and clinical importance. Recent work has questioned the validity of this approach by showing in several breast...
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