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Updated: Jun 4, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
Published on: October 11, 2018
GPDE: A biological proteomic database for biomarker discovery and evaluation
Johannes Griss1, Verena Haudek-Prinz, Christopher Gerner
1Department of Medicine I, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Abstract:
Clinical proteomics faces extremely complex and variable data. Here, we present an updated version of the Griss Proteomics Database Engine (GPDE): A free biological proteomic database specifically designed for clinical proteomics and biomarker discovery (http://gpde.sourceforge.net). It combines experiments based on investigated cell types thereby supporting customizable biological meta-analyses. Through the new features described here, the GPDE now became a powerful yet easy-to-use tool to support the fast identification and reliable evaluation of biomarker candidates.
