Supervised ensembles of prediction methods for subcellular localization

Johannes Aßfalg*, Jing Gong, Hans Peter Kriegel, Alexey Pryakhin, Tiandi Wei, Arthur Zimek

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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 on their theoretical properties, we propose to combine a well balanced set of existing approaches to new, ensemble-based prediction methods. The experimental evaluation shows our ensembles to improve substantially over the underlying base methods.

Original languageEnglish
Title of host publicationProceedings of 6th Asia-Pacific Bioinformatics Conference
Publication dateDec 2008
Pages29-38
ISBN (Print)978-184816108-5
Publication statusPublished - Dec 2008
Externally publishedYes
Event6th Asia-Pacific Bioinformatics Conference - Kyoto, Japan
Duration: 14. Jan 200817. Jan 2008

Conference

Conference6th Asia-Pacific Bioinformatics Conference
Country/TerritoryJapan
CityKyoto
Period14/01/200817/01/2008
SeriesSeries on Advances in Bioinformatics and Computational Biology
Volume6
ISSN1751-6404

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