• DocumentCode
    2904408
  • Title

    Multi-scale and reduced modelling of biological systems

  • Author

    Barbulescu, Ruxandra ; Ioan, Daniel

  • Author_Institution
    Univ. Politeh. of Bucharest, Bucharest, Romania
  • fYear
    2015
  • fDate
    7-9 May 2015
  • Firstpage
    597
  • Lastpage
    602
  • Abstract
    In systems biology there is an intrinsic need for multiscale modelling, because physiological functions account for many spatial / time scales and processes, with a close connection between multi-scale, multi-physics approaches and model reduction. The paper is an overview attempting to transmit a new perspective on modelling of complex biological systems. We discuss the key points in system-level analysis and multi-scale modelling of bio-systems, making a classification of methods used in different scales and characterizing the multi-scale approach. The main contribution is the presentation of role and importance of complexity reduction in the multiscale modelling of biosystems, proposing in this respect a procedure proven to be efficient for multiphysics structures.
  • Keywords
    physiological models; multiphysics structures; multiscale biological system modelling; physiological functions; system-level analysis; Biological system modeling; Biological systems; Computational modeling; Mathematical model; Numerical models; Systems biology; bio-systems; complexity reduction; multi-physics; multi-scale;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Topics in Electrical Engineering (ATEE), 2015 9th International Symposium on
  • Conference_Location
    Bucharest
  • Type

    conf

  • DOI
    10.1109/ATEE.2015.7133876
  • Filename
    7133876