Title
Identifying the Parametric Occurrence of Multiple Steady States for some Biological Networks.
Abstract
We consider a problem from biological network analysis of determining regions in a parameter space over which there are multiple steady states for positive real values of variables and parameters. We describe multiple approaches to address the problem using tools from Symbolic Computation. We describe how progress was made to achieve semi-algebraic descriptions of the multistationarity regions of parameter space, and compare symbolic and numerical methods.
Year
DOI
Venue
2019
10.1016/j.jsc.2019.07.008
Journal of Symbolic Computation
Keywords
Field
DocType
Mixed equation/inequality solving,Real quantifier elimination,Biological networks,Signalling pathways,MAPK
Graph theory,Discrete mathematics,Biological network,Symbolic computation,Algorithm,Parametric statistics,Parameter space,Gaussian elimination,Numerical analysis,Cylindrical algebraic decomposition,Mathematics
Journal
Volume
ISSN
Citations 
98
0747-7171
1
PageRank 
References 
Authors
0.35
25
11
Name
Order
Citations
PageRank
Russell J. Bradford125525.29
J. H. Davenport210921.82
Matthew England319220.58
Hassan Errami4344.32
V. P. Gerdt57449.96
Dima Grigoriev6992124.46
Charles Hoyt710.35
Marek Kosta882.54
Ovidiu Radulescu913215.58
Thomas Sturm1030224.81
Andreas Weber1113113.10