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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:srw_dc="info:srw/schema/1/dc-schema">Stochastic modelling of subcellular biochemical systems</dc:title>
  <dc:contributor xmlns:dc="http://purl.org/dc/elements/1.1/">Ullah, Mukhtar , 1975-</dc:contributor>
  <dc:type xmlns:dc="http://purl.org/dc/elements/1.1/">Text</dc:type>
  <dc:type xmlns:dc="http://purl.org/dc/elements/1.1/">theses</dc:type>
  <dc:type xmlns:dc="http://purl.org/dc/elements/1.1/">Text</dc:type>
  <dc:type xmlns:dc="http://purl.org/dc/elements/1.1/">Hochschulschrift</dc:type>
  <dc:date xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:srw_dc="info:srw/schema/1/dc-schema">2009</dc:date>
  <dc:date xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:srw_dc="info:srw/schema/1/dc-schema">2009</dc:date>
  <dc:language xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:srw_dc="info:srw/schema/1/dc-schema">eng</dc:language>
  <dc:format xmlns:dc="http://purl.org/dc/elements/1.1/">electronic resource</dc:format><dc:format xmlns:dc="http://purl.org/dc/elements/1.1/">remote</dc:format><dc:format xmlns:dc="http://purl.org/dc/elements/1.1/">Computermedien</dc:format><dc:format xmlns:dc="http://purl.org/dc/elements/1.1/">Online-Ressource</dc:format><dc:format xmlns:dc="http://purl.org/dc/elements/1.1/">text/html</dc:format><dc:format xmlns:dc="http://purl.org/dc/elements/1.1/">application/pdf</dc:format><dc:format xmlns:dc="http://purl.org/dc/elements/1.1/">Online-Ressource graph. Darst.</dc:format>
  <dc:description xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:srw_dc="info:srw/schema/1/dc-schema">Stochastic approaches are needed for modelling many cellular processes to capture noise effects. The difficulty of solving the chemical master equation, the most common formulation of stochastic models, is circumvented by stochastic simulations and analytical approximations. The central theme here is one such approximation, the two-moment approximation (2MA) which represents the mean-covariance coupling. Our 2MA formulation allows non-elementary reactions and relative concentrations. The approach is applied to the fission yeast cell cycle model. The analytical model reproduces the relevant experimental data.</dc:description>
  <dc:description xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:srw_dc="info:srw/schema/1/dc-schema">Mukhtar Ullah</dc:description>
  <dc:description xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:srw_dc="info:srw/schema/1/dc-schema">Rostock, Univ., Fak. f. Informatik u. Elektrotechnik, Diss., 2009</dc:description>
  <dc:subject xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:srw_dc="info:srw/schema/1/dc-schema">570 510</dc:subject>
  <dc:subject xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:srw_dc="info:srw/schema/1/dc-schema">31.70</dc:subject>
  <dc:subject xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:srw_dc="info:srw/schema/1/dc-schema">35.79</dc:subject>
  <dc:identifier xmlns:dc="http://purl.org/dc/elements/1.1/">http://rosdok.uni-rostock.de/resolve?urn=urn:nbn:de:gbv:28-diss2009-0128-8</dc:identifier>
  <dc:identifier xmlns:dc="http://purl.org/dc/elements/1.1/">http://rosdok.uni-rostock.de/resolve?urn=urn:nbn:de:gbv:28-diss2009-0128-8&amp;pdf</dc:identifier>
  <dc:identifier xmlns:dc="http://purl.org/dc/elements/1.1/">http://nbn-resolving.de/urn:nbn:de:gbv:28-diss2009-0128-8</dc:identifier>
  <dc:relation xmlns:dc="http://purl.org/dc/elements/1.1/">Stochastic modelling of subcellular biochemical systems--(DE-627)60404240X</dc:relation>
  <dc:identifier xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:srw_dc="info:srw/schema/1/dc-schema">urn:nbn:de:gbv:28-diss2009-0128-8</dc:identifier>
  <dc:identifier xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:srw_dc="info:srw/schema/1/dc-schema">oclc: 455628059</dc:identifier>
  <dc:identifier xmlns:dc="http://purl.org/dc/elements/1.1/">ppn:
				(DE-627)604743149</dc:identifier>
</oai_dc:dc>
