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    CMSB
    2007
    Springer
    94views Applied Computing» more  CMSB 2007»
    Simultaneous Stochastic Simulation of Multiple Perturbations in Biological Network Models
    13 years 11 months ago
    Simultaneous Stochastic Simulation of Multiple Perturbations in Biological Network Models
    Download  www.nesc.ac.uk
    Werner Sandmann
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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
    13 years 5 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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    INFOCOM
    2005
    IEEE
    91views Communications» more  INFOCOM 2005»
    Measurement-based multipath multicast
    13 years 10 months ago
    Measurement-based multipath multicast
    Download  www.ece.umd.edu
    Abstract— We propose a measurement-based routing algorithm to load balance intradomain traffic along multiple paths for multiple multicast sources. Multiple paths are establishe...
    Tuna Güven, Richard J. La, Mark A. Shayman, B...
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    TSMC
    2010
    144views Artificial Intelligence» more  TSMC 2010»
    On Robust Stability of Stochastic Genetic Regulatory Networks With Time Delays: A Delay Fractioning Approach
    12 years 11 months ago
    On Robust Stability of Stochastic Genetic Regulatory Networks With Time Delays: A Delay Fractioning Approach
    Download  bura.brunel.ac.uk
    Robust stability serves as an important regulation mechanism in system biology and synthetic biology. In this paper, the robust stability analysis problem is investigated for a cla...
    Yao Wang, Zidong Wang, Jinling Liang
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    BMCBI
    2006
    239views more  BMCBI 2006»
    Applying dynamic Bayesian networks to perturbed gene expression data
    13 years 4 months ago
    Applying dynamic Bayesian networks to perturbed gene expression data
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    Background: A central goal of molecular biology is to understand the regulatory mechanisms of gene transcription and protein synthesis. Because of their solid basis in statistics,...
    Norbert Dojer, Anna Gambin, Andrzej Mizera, Bartek...
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