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Volume 8: Machine Learning in Systems Biology, 5-6 September 2009, Ljubljana, Slovenia
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Editors: Sašo Džeroski, Pierre Guerts, Juho Rousu
Preface
Accepted Papers
Proceedings of the Third International Workshop on Machine Learning in Systems Biology: Revised Selected Papers
Proceedings of the third International Workshop on Machine Learning in Systems Biology, PMLR 8:1-2
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A comparison of AUC estimators in small-sample studies
Proceedings of the third International Workshop on Machine Learning in Systems Biology, PMLR 8:3-13
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Hierarchical Cost-Sensitive Algorithms for Genome-Wide Gene Function Prediction
Proceedings of the third International Workshop on Machine Learning in Systems Biology, PMLR 8:14-29
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Evaluation of a Bayesian model-based approach in GA studies
Proceedings of the third International Workshop on Machine Learning in Systems Biology, PMLR 8:30-43
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Evaluation of Signaling Cascades Based on the Weights from Microarray and ChIP-seq Data
Proceedings of the third International Workshop on Machine Learning in Systems Biology, PMLR 8:44-54
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On utility of gene set signatures in gene expression-based cancer class prediction
Proceedings of the third International Workshop on Machine Learning in Systems Biology, PMLR 8:55-64
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Accuracy-Rejection Curves (ARCs) for Comparing Classification Methods with a Reject Option
Proceedings of the third International Workshop on Machine Learning in Systems Biology, PMLR 8:65-81
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Predicting the functions of proteins in Protein-Protein Interaction networks from global information
Proceedings of the third International Workshop on Machine Learning in Systems Biology, PMLR 8:82-97
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Simple ensemble methods are competitive with state-of-the-art data integration methods for gene function prediction
Proceedings of the third International Workshop on Machine Learning in Systems Biology, PMLR 8:98-111
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Event based text mining for integrated network construction
Proceedings of the third International Workshop on Machine Learning in Systems Biology, PMLR 8:112-121
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Evaluation Method for Feature Rankings and their Aggregations for Biomarker Discovery
Proceedings of the third International Workshop on Machine Learning in Systems Biology, PMLR 8:122-135
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A Subgroup Discovery Approach for Relating Chemical Structure and Phenotype Data in Chemical Genomics
Proceedings of the third International Workshop on Machine Learning in Systems Biology, PMLR 8:136-144
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