Application of model quality evaluation to systems biology

Laura Giarre, Paola Falugi

    Risultato della ricerca: Paper

    Abstract

    Application of model quality evaluation to the quasispecies models is presented. These models are useful for the analysis of the DNA and RNA evolution and for the description of the population dynamics of viruses and bacteria. An estimate of the parameters together with their interval of variability is computed and the quality evaluation is tested on the basis of the model prediction error capability.
    Lingua originaleEnglish
    Stato di pubblicazionePublished - 2008

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    RNA
    population dynamics
    virus
    DNA
    bacterium
    evaluation
    prediction
    analysis
    parameter

    All Science Journal Classification (ASJC) codes

    • Computational Theory and Mathematics
    • Control and Systems Engineering
    • Signal Processing

    Cita questo

    Application of model quality evaluation to systems biology. / Giarre, Laura; Falugi, Paola.

    2008.

    Risultato della ricerca: Paper

    Giarre, L & Falugi, P 2008, 'Application of model quality evaluation to systems biology'.
    Giarre L, Falugi P. Application of model quality evaluation to systems biology. 2008.
    Giarre, Laura ; Falugi, Paola. / Application of model quality evaluation to systems biology.
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    title = "Application of model quality evaluation to systems biology",
    abstract = "Application of model quality evaluation to the quasispecies models is presented. These models are useful for the analysis of the DNA and RNA evolution and for the description of the population dynamics of viruses and bacteria. An estimate of the parameters together with their interval of variability is computed and the quality evaluation is tested on the basis of the model prediction error capability.",
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    AB - Application of model quality evaluation to the quasispecies models is presented. These models are useful for the analysis of the DNA and RNA evolution and for the description of the population dynamics of viruses and bacteria. An estimate of the parameters together with their interval of variability is computed and the quality evaluation is tested on the basis of the model prediction error capability.

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