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