The Essential Role of Sensitivity Analysis in System Biology Models

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2020 by IJETT Journal
Special Issue
Year of Publication : 2020
Authors : Nur Afifah Ahmad Ahyad, Afnizanfaizal Abdullah
DOI :  10.14445/22315381/IJETT-AIIC106

Citation 

MLA Style: Nur Afifah Ahmad Ahyad, Afnizanfaizal Abdullah  "The Essential Role of Sensitivity Analysis in System Biology Models" International Journal of Engineering Trends and Technology (2020):26-32. 

APA Style:Nur Afifah Ahmad Ahyad, Afnizanfaizal Abdullah. The Essential Role of Sensitivity Analysis in System Biology Models  International Journal of Engineering Trends and Technology, 26-32.

Abstract
Biological network behaviour is triggered by several conditions inside and outside of the cell. Just like human tends to secrete more urine during cold weather, components inside a biological network also work the same way. Component behaviour cannot be determined as individual only but also by including the interaction with other components in a system. Along with the numerous research conducted, several mathematical model approach has been used for modelling biological network. These models require knowledge on initial condition and range of parameters needed for model functionality. However, these parameters are difficult and sometimes impossible to be captured in a biological lab experiment thus create uncertainties in model parameters. To address this problem, sensitivity analysis is used in modelling of system biology models. Sensitivity analysis helps in reducing model complexity, capture precision parameters and guide biological experimental. This paper provides overview of several sensitivity analysis approaches and guidelines in choosing sensitivity analysis approach.

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Keywords
Computational Biology, ODE Biological Model, Parameter Uncertainties, Sensitivity Analysis.