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Control theoretic approach to analysis of random branching walk models arising in molecular biology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We present two models of molecular processes described by infinite systems of first order differential equations. These models result from branching random walk processes used to represent the evolution of particles in these problems. Using asymptotic techniques based on Laplace transforms it is possible to characterize the asymptotic behavior of telomeres shortening which is supposed to be the mechanism of aging and evolution of cancer cells with increasing number of copies genes responsible for coding causing drug removal or metabolisation. The analysis in both cases is possible because they could be represented by systems with positive feedbacks.

Original languageEnglish
Title of host publicationICINCO 2008 - 5th International Conference on Informatics in Control, Automation and Robotics, Proceedings
Pages217-220
Number of pages4
Publication statusPublished - 2008
Event5th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2008 - Funchal, Madeira, Portugal
Duration: 11 May 200815 May 2008

Publication series

NameICINCO 2008 - 5th International Conference on Informatics in Control, Automation and Robotics, Proceedings
VolumeSPSMC

Conference

Conference5th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2008
Country/TerritoryPortugal
CityFunchal, Madeira
Period11/05/0815/05/08

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Control applications in biology
  • Random branching walks
  • Systems modelling

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering

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