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pmid20108537
      J+Med+Life 2009 ; 2 (2 ): 176-84
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  • Network based models for biological applications #MMPMID20108537
  • Dobrescu R ; Purc?rea V
  • J Med Life 2009[Apr]; 2 (2 ): 176-84 PMID20108537 show ga
  • This paper analyses the adequacy of different types of networks in biological process modeling. The assumptions are sustained by two case studies. The first one is a lattice-based computer model to simulate the growth of nonvascular tumors with nutrient consumption constraints. The modeling solution is able to reproduce the classic three-layer structure familiar from multicellular spheroids: cell proliferation, quiescent and necrosis. The accuracy of this model is tested by comparing it to a fractal morphometric technique of two patterns, one of them obtained by simulation, the other developed in vitro. The second application is the growth of a directed network, in which the growth is constrained by the cost of adding links to the existing nodes. This is a new preferential attachment scheme, different from those specific for the construction of scale-free graphs, because its new nodes prefer to attach to existing nodes with lower degree. We relate this mechanism to a simple food-web model studied by simulations.
  • |*Neural Networks, Computer [MESH]
  • |Biology/*methods/*trends [MESH]
  • |Cell Culture Techniques [MESH]
  • |Cell Division [MESH]
  • |Computer Simulation [MESH]
  • |Equipment Design [MESH]
  • |Food Chain [MESH]
  • |Fractals [MESH]
  • |Humans [MESH]
  • |Models, Theoretical [MESH]
  • |Neoplasms/pathology [MESH]


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