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  <identifier identifierType="DOI">10.18453/rosdok_id00000511</identifier>
  <creators>
    <creator>
      <creatorName nameType="Personal">Ullah, Mukhtar</creatorName>
      <givenName>Mukhtar</givenName>
      <familyName>Ullah</familyName>
      <nameIdentifier nameIdentifierScheme="GND" schemeURI="http://d-nb.info/gnd/">http://d-nb.info/gnd/13863811X</nameIdentifier>
    </creator>
  </creators>
  <titles>
    <title>Stochastic Modelling of Subcellular Biochemical Systems</title>
  </titles>
  <publisher>Universität Rostock</publisher>
  <publicationYear>2009</publicationYear>
  <resourceType resourceTypeGeneral="Text" />
  <subjects>
    <subject xml:lang="en" schemeURI="http://dewey.info/" subjectScheme="dewey">510 Mathematics</subject>
    <subject xml:lang="en" schemeURI="http://dewey.info/" subjectScheme="dewey">570 Life science</subject>
  </subjects>
  <dates>
    <date dateType="Created">2009</date>
  </dates>
  <language>en</language>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="PURL">http://purl.uni-rostock.de/rosdok/id00000511</alternateIdentifier>
    <alternateIdentifier alternateIdentifierType="URN">urn:nbn:de:gbv:28-diss2009-0128-8</alternateIdentifier>
  </alternateIdentifiers>
  <descriptions>
    <description descriptionType="Abstract">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.</description>
  </descriptions>
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