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    BIOSYSTEMS
    2007
    71views more  BIOSYSTEMS 2007»
    Algorithmic and complexity results for decompositions of biological networks into monotone subsystems
    13 years 5 months ago
    Algorithmic and complexity results for decompositions of biological networks into monotone subsystems
    Download  www.mit.edu
    Bhaskar DasGupta, German Andres Enciso, Eduardo D....
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    TCS
    2011
    196views Theoretical Computer Science» more  TCS 2011»
    An algorithmic framework for network reconstruction
    13 years 6 days ago
    An algorithmic framework for network reconstruction
    Download  www.math.uni-magdeburg.de
    Models of biological systems and phenomena are of high scientific interest and practical relevance, but not always easy to obtain due to their inherent complexity. To gain the re...
    Markus Durzinsky, Annegret Wagler, Robert Weismant...
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    JCB
    2006
    185views more  JCB 2006»
    A Probabilistic Methodology for Integrating Knowledge and Experiments on Biological Networks
    13 years 5 months ago
    A Probabilistic Methodology for Integrating Knowledge and Experiments on Biological Networks
    Download  www.math.tau.ac.il
    Biological systems are traditionally studied by focusing on a specific subsystem, building an intuitive model for it, and refining the model using results from carefully designed ...
    Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...
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    BMCBI
    2010
    148views more  BMCBI 2010»
    Structuring heterogeneous biological information using fuzzy clustering of k-partite graphs
    13 years 5 months ago
    Structuring heterogeneous biological information using fuzzy clustering of k-partite graphs
    Download  www.biomedcentral.com
    Background: Extensive and automated data integration in bioinformatics facilitates the construction of large, complex biological networks. However, the challenge lies in the inter...
    Mara L. Hartsperger, Florian Blöchl, Volker S...
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    IJCAI
    1997
    158views Artificial Intelligence» more  IJCAI 1997»
    Extracting Propositions from Trained Neural Networks
    13 years 6 months ago
    Extracting Propositions from Trained Neural Networks
    Download  dli.iiit.ac.in
    This paper presents an algorithm for extract­ ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
    Hiroshi Tsukimoto
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