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Showing 1 to 5 of 5 for “"Genetic regulatory network"”.

  1. Mathematical modelling of the floral transition — with a Bayesian flourish —

    … growth in optimal environmental conditions. Much genetic and experimental research has gone into elucidating the biological mechanisms controlling the floral transition. However there has been little mathematical modelling of this process. The aim of this thesis was to gain an understanding of the …

    east-anglia Repository record for Mathematical modelling of the floral transition — with a Bayesian flourish — (opens in a new tab)

  2. Design of genetic regulatory networks

    … thesis, we present two approaches for designing genetic regulatory networks in the field of synthetic biology. The core problem is to capture topological properties and dynamical mechanisms in such a way that enables generation of large-scale and complex genetic regulatory networks. Synthetic …

    uiuc Repository record for Design of genetic regulatory networks (opens in a new tab)

  3. Taming Biological Complexity Through the Use of Symmetries

    … and with the environment. In the case of gene networks, every interaction between genes is modulated by a number of different microscopic parameters and produces an overall network that is all but impossible to understand. Here we ask the question how can we possibly ”tame” this complexity in …

    cuny-grad Repository record for Taming Biological Complexity Through the Use of Symmetries (opens in a new tab)

  4. NODE INFLUENCE IN NETWORK-BASED DISCRETE DYNAMICAL SYSTEMS

    Many complex systems can be modeled as network-based discrete dynamical systems, where individual nodes (representing some variable of interest) are connected by edges that describe their interactions. Each node can take on different states relevant to the network under investigation (for example, …

    iu Repository record for NODE INFLUENCE IN NETWORK-BASED DISCRETE DYNAMICAL SYSTEMS (opens in a new tab)

  5. Modeling Time-Varying Networks with Applications to Neural Flow and Genetic Regulation

    … biological processes are effectively modeled as networks, but a frequent assumption is that these networks do not change during data collection. However, that assumption does not hold for many phenomena, such as neural growth during learning or changes in genetic regulation during cell …

    duke Repository record for Modeling Time-Varying Networks with Applications to Neural Flow and Genetic Regulation (opens in a new tab)