Volume 8, March 2010
Proceedings of the third International Workshop on Machine Learning in Systems Biology
September 5-6, 2009, Ljubljana, Slovenia
- 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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