TY - JOUR AU - Zamora-Sillero, ElĂ­as AU - Hafner, Marc AU - Ibig, Ariane AU - Stelling, Joerg AU - Wagner, Andreas PY - 2011 DA - 2011/09/15 TI - Efficient characterization of high-dimensional parameter spaces for systems biology JO - BMC Systems Biology SP - 142 VL - 5 IS - 1 AB - 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. SN - 1752-0509 UR - https://doi.org/10.1186/1752-0509-5-142 DO - 10.1186/1752-0509-5-142 ID - Zamora-Sillero2011 ER -