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    AIPS
    2003
    179views Artificial Intelligence» more  AIPS 2003»
    A Multi-Agent System-driven AI Planning Approach to Biological Pathway Discovery
    14 years 11 months ago
    A Multi-Agent System-driven AI Planning Approach to Biological Pathway Discovery
    Download  www.aaai.org
    As genomic and proteomic data is collected from highthroughput methods on a daily basis, subcellular components are identified and their in vitro behavior is characterized. Howev...
    Salim Khan, William Gillis, Carl Schmidt, Keith De...
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    BMCBI
    2007
    157views more  BMCBI 2007»
    A hybrid multiscale Monte Carlo algorithm (HyMSMC) to cope with disparity in time scales and species populations in intracellula
    14 years 9 months ago
    A hybrid multiscale Monte Carlo algorithm (HyMSMC) to cope with disparity in time scales and species populations in intracellula
    Download  www.biomedcentral.com
    Background: The fundamental role that intrinsic stochasticity plays in cellular functions has been shown via numerous computational and experimental studies. In the face of such e...
    Asawari Samant, Babatunde A. Ogunnaike, Dionisios ...
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    ICAI
    2004
    138views Artificial Intelligence» more  ICAI 2004»
    A User Centered Evolutionary Scheduling Framework
    14 years 11 months ago
    A User Centered Evolutionary Scheduling Framework
    Download  ls3-www.cs.uni-dortmund.de
    The need for supporting CSCW applications with heterogeneous and varying user requirements call for adaptive and reconfigurable schedulers accommodating a mixture of real-time, pro...
    Horst Wedde, Muddassar Farooq, Mario Lischka
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    BMCBI
    2005
    62views more  BMCBI 2005»
    Differences in codon bias cannot explain differences in translational power among microbes
    14 years 9 months ago
    Differences in codon bias cannot explain differences in translational power among microbes
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    Background: Translational power is the cellular rate of protein synthesis normalized to the biomass invested in translational machinery. Published data suggest a previously unreco...
    Les Dethlefsen, Thomas M. Schmidt
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    BMCBI
    2005
    161views more  BMCBI 2005»
    Non-linear mapping for exploratory data analysis in functional genomics
    14 years 9 months ago
    Non-linear mapping for exploratory data analysis in functional genomics
    Download  www.biomedcentral.com
    Background: Several supervised and unsupervised learning tools are available to classify functional genomics data. However, relatively less attention has been given to exploratory...
    Francisco Azuaje, Haiying Wang, Alban Chesneau
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