Efficient characterization of high-dimensional parameter spaces for systems biology

Background: A biological system's robustness to mutations and its evolution are influenced by the structure of its viable space, the region of its space of biochemical parameters where it can exert its function. In systems with a large number of biochemical parameters, viable regions with potentially complex geometries fill a tiny fraction of the whole parameter space. This hampers explorations of the viable space based on "brute force" or Gaussian sampling.


Published in:
Bmc Systems Biology, 5, -
Year:
2011
Keywords:
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 Record created 2011-12-16, last modified 2018-03-17


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