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
Link To Document :
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