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http://scihub22266oqcxt.onion/ C5686432!5686432!20108537     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=20108537&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       J+Med+Life 2009 ; 2 (2): 176-84 Nephropedia Template TP {{tp|p=20108537|t=2009. Network based models for biological applications |pdf=|usr=}}{{20108537}} gab.com Text Network based models for biological applications JO: J Med Life http://www.kidney.de/pget.php?&tw=1&pmid=20108537 #FOAvip 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. Twit Text FOAVip Network based models for biological applications ????J Med Life http://www.kidney.de/pget.php?&tw=1&pmid=20108537 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=20108537 #FOAvip English Wikipedia <ref>{{Cite pmid|20108537}}</ref> Network based models for biological applications #MMPMID20108537 Radu D; Victor P J Med Life 2009[Apr]; 2 (2): 176-84 PMID20108537show 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. äNetwork based models for biological applications (epmc).pdf DeepDyve Pubget Overpricing