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ORCIDMLSB 2009: Ljubljana, Slovenia
- Saso Dzeroski, Pierre Geurts, Juho Rousu:
Proceedings of the third International Workshop on Machine Learning in Systems Biology, MLSB 2009, Ljubljana, Slovenia, September 5-6, 2009. JMLR Proceedings 8, JMLR.org 2010 - Saso Dzeroski, Pierre Geurts, Juho Rousu:
Preface. 1-2 - Antti Airola, Tapio Pahikkala, Willem Waegeman, Bernard De Baets, Tapio Salakoski:
A comparison of AUC estimators in small-sample studies. 3-13 - Nicolò Cesa-Bianchi, Giorgio Valentini:
Hierarchical Cost-Sensitive Algorithms for Genome-Wide Gene Function Prediction. 14-29 - Gábor Hullám, Peter Antal, Csaba Szalai, András Falus:
Evaluation of a Bayesian model-based approach in GA studies. 30-43 - Zerrin Isik, Volkan Atalay, Rengül Çetin-Atalay:
Evaluation of Signaling Cascades Based on the Weights from Microarray and ChIP-seq Data. 44-54 - Minca Mramor, Marko Toplak, Gregor Leban, Tomaz Curk, Janez Demsar, Blaz Zupan:
On utility of gene set signatures in gene expression-based cancer class prediction. 55-64 - Malik Sajjad Ahmed Nadeem, Jean-Daniel Zucker, Blaise Hanczar:
Accuracy-Rejection Curves (ARCs) for Comparing Classification Methods with a Reject Option. 65-81 - Hossein Rahmani, Hendrik Blockeel, Andreas Bender:
Predicting the functions of proteins in Protein-Protein Interaction networks from global information. 82-97 - Matteo Ré, Giorgio Valentini:
Simple ensemble methods are competitive with state-of-the-art data integration methods for gene function prediction. 98-111 - Yvan Saeys, Sofie Van Landeghem, Yves Van de Peer:
Event based text mining for integrated network construction. 112-121 - Ivica Slavkov, Bernard Zenko, Saso Dzeroski:
Evaluation Method for Feature Rankings and their Aggregations for Biomarker Discovery. 122-135 - Lan Umek, Petra Kaferle, Mojca Mattiazzi, Ales Erjavec, Crtomir Gorup, Tomaz Curk, Uros Petrovic, Blaz Zupan:
A Subgroup Discovery Approach for Relating Chemical Structure and Phenotype Data in Chemical Genomics. 136-144
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