Static Analysis of Boolean Networks Based on Interaction Graphs
www.sciencedirect.com › article › pii
To face this problem, a classical approach consists in deducing from the interaction graph of the network, which only contains n vertices, some information on ...
Aug 31, 2021 · Abstract. Boolean networks are discrete dynamical systems extensively used to model biological regulatory networks. The dynamical analysis.
Abstract. Boolean networks are discrete dynamical systems extensively used to model biological regulatory networks. The dynamical analysis of these networks ...
To face this problem, a classical approach consists in deducing from the interaction graph of the network, which only contains n vertices, some information on ...
Boolean networks are discrete dynamical systems extensively used to model biological regulatory networks. The dynamical analysis of these networks suffers ...
Abstract Biological regulatory network can be modeled through a set of Boolean functions. These set of functions enable graph-representation of the network ...
This paper presents a novel approach for construction of interaction graph with the help of Boolean function decomposition. Each decomposition part (Consisting ...
Jun 1, 2020 · With the help of Boolean function decomposition, this work presents an approach for construction of interaction graphs. This decomposition ...
Missing: Static Survey.
Paulevé L, Richard A (2012) Static analysis of boolean networks based on interaction graphs: a survey. Electron Notes Theor Comput Sci 284:93–104 https ...
May 13, 2021 · The classification was done using all possible combinations of the static interaction graph-based features over all nodes of all networks N.
Missing: Survey. | Show results with:Survey.