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Supervised ensembles of prediction methods for subcellular localization
Johannes Assfalg1, Jing Gong, Hans-Peter Kriegel
1Institute for Informatics, Ludwig-Maximilians-Universität München, Oettingenstrasse 67, 80538 Munich, Germany. assfalg@dbs.ifi.lmu.de
Abstract:
In the past decade, many automated prediction methods for the subcellular localization of proteins have been proposed, utilizing a wide range of principles and learning approaches. Based on an experimental evaluation of different methods and their theoretical properties, we propose to combine a well-balanced set of existing approaches to new, ensemble-based prediction methods. The experimental evaluation shows that our ensembles improve substantially over the underlying base methods.
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