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    BMCBI
    2007
    164views more  BMCBI 2007»
    Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks
    15 years 3 months ago
    Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks
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    Background: The regulation of gene expression is achieved through gene regulatory networks (GRNs) in which collections of genes interact with one another and other substances in a...
    Peng Li, Chaoyang Zhang, Edward J. Perkins, Ping G...
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    BMCBI
    2007
    128views more  BMCBI 2007»
    Model order selection for bio-molecular data clustering
    15 years 3 months ago
    Model order selection for bio-molecular data clustering
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    Background: Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically ...
    Alberto Bertoni, Giorgio Valentini
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    BMCBI
    2007
    121views more  BMCBI 2007»
    e-Science and biological pathway semantics
    15 years 3 months ago
    e-Science and biological pathway semantics
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    Background: The development of e-Science presents a major set of opportunities and challenges for the future progress of biological and life scientific research. Major new tools a...
    Joanne S. Luciano, Robert D. Stevens
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    BMCBI
    2007
    215views more  BMCBI 2007»
    Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
    15 years 3 months ago
    Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
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    Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
    Rainer Opgen-Rhein, Korbinian Strimmer
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    BMCBI
    2007
    115views more  BMCBI 2007»
    A novel, fast, HMM-with-Duration implementation - for application with a new, pattern recognition informed, nanopore detector
    15 years 3 months ago
    A novel, fast, HMM-with-Duration implementation - for application with a new, pattern recognition informed, nanopore detector
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    Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
    Stephen Winters-Hilt, Carl Baribault
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