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    JMLR
    2010
    125views more  JMLR 2010»
    On utility of gene set signatures in gene expression-based cancer class prediction
    12 years 11 months ago
    On utility of gene set signatures in gene expression-based cancer class prediction
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    Machine learning methods that can use additional knowledge in their inference process are central to the development of integrative bioinformatics. Inclusion of background knowled...
    Minca Mramor, Marko Toplak, Gregor Leban, Tomaz Cu...
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    JMLR
    2010
    133views more  JMLR 2010»
    Hierarchical Cost-Sensitive Algorithms for Genome-Wide Gene Function Prediction
    12 years 11 months ago
    Hierarchical Cost-Sensitive Algorithms for Genome-Wide Gene Function Prediction
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    In this work we propose new ensemble methods for the hierarchical classification of gene functions. Our methods exploit the hierarchical relationships between the classes in diffe...
    Nicolò Cesa-Bianchi, Giorgio Valentini
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    JMLR
    2010
    145views more  JMLR 2010»
    Event based text mining for integrated network construction
    12 years 11 months ago
    Event based text mining for integrated network construction
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    The scientific literature is a rich and challenging data source for research in systems biology, providing numerous interactions between biological entities. Text mining technique...
    Yvan Saeys, Sofie Van Landeghem, Yves Van de Peer
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    JMLR
    2010
    97views more  JMLR 2010»
    Evaluation of a Bayesian model-based approach in GA studies
    12 years 11 months ago
    Evaluation of a Bayesian model-based approach in GA studies
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    In a typical Genetic Association Study (GAS) several hundreds to millions of genomic variables are measured and tested for association with a given set of a phenotypic variables (...
    Gábor Hullám, Peter Antal, Csaba Sza...
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    JMLR
    2010
    161views more  JMLR 2010»
    Accuracy-Rejection Curves (ARCs) for Comparing Classification Methods with a Reject Option
    12 years 11 months ago
    Accuracy-Rejection Curves (ARCs) for Comparing Classification Methods with a Reject Option
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    Data extracted from microarrays are now considered an important source of knowledge about various diseases. Several studies based on microarray data and the use of receiver operat...
    Malik Sajjad Ahmed Nadeem, Jean-Daniel Zucker, Bla...
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    JMLR
    2010
    105views more  JMLR 2010»
    Evaluation of Signaling Cascades Based on the Weights from Microarray and ChIP-seq Data
    12 years 11 months ago
    Evaluation of Signaling Cascades Based on the Weights from Microarray and ChIP-seq Data
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    In this study, we combined the ChIP-seq and the transcriptome data and integrated these data into signaling cascades. Integration was realized through a framework based on data- a...
    Zerrin Isik, Volkan Atalay, Rengül Çet...
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    JMLR
    2010
    82views more  JMLR 2010»
    TIED: An Artificially Simulated Dataset with Multiple Markov Boundaries
    12 years 11 months ago
    TIED: An Artificially Simulated Dataset with Multiple Markov Boundaries
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    We present an artificially simulated dataset (TIED) constructed so that there are many minimal sets of variables with maximal predictivity (i.e., Markov boundaries) and likewise m...
    Alexander R. Statnikov, Constantin F. Aliferis
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    JMLR
    2010
    117views more  JMLR 2010»
    Comparison of Granger Causality and Phase Slope Index
    12 years 11 months ago
    Comparison of Granger Causality and Phase Slope Index
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    We recently proposed a new measure, termed Phase Slope Index (PSI), It estimates the causal direction of interactions robustly with respect to instantaneous mixtures of independen...
    Guido Nolte, Andreas Ziehe, Nicole Krämer, Fl...
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    JMLR
    2010
    134views more  JMLR 2010»
    Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions
    12 years 11 months ago
    Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions
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    This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
    Jan Lemeire, Kris Steenhaut
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    JMLR
    2010
    72views more  JMLR 2010»
    Reverse Engineering of Asynchronous Boolean Networks
    12 years 11 months ago
    Reverse Engineering of Asynchronous Boolean Networks
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    Cheng Zheng, Zhi Geng
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