Results 31 to 40 of about 849 (213)
The molecular regulatory network (MRN) within a cell determines cellular states and transitions between them. Thus, modeling of MRNs is crucial, but this usually requires extensive analysis of time-series measurements, which is extremely difficult to ...
Sang-Mok Choo +2 more
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On Circuit Functionality in Boolean Networks
It has been proved, for several classes of continuous and discrete dynamical systems, that the presence of a positive (resp. negative) circuit in the interaction graph of a system is a necessary condition for the presence of multiple stable states (resp. a cyclic attractor). A positive (resp.
Comet, Jean-Paul +9 more
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A fixed point theorem for Boolean networks expressed in terms of forbidden subnetworks [PDF]
We are interested in fixed points in Boolean networks, $\textit{i.e.}$ functions $f$ from $\{0,1\}^n$ to itself. We define the subnetworks of $f$ as the restrictions of $f$ to the hypercubes contained in $\{0,1\}^n$, and we exhibit a class $\mathcal{F ...
Adrien Richard
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Objectives. The purpose of experimental research is to determine the effectiveness of new algorithms for extracting the so-called connected subsystems from formula descriptions of the original system of Boolean functions.
P. N. Bibilo +2 more
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Extended robust boolean network of budding yeast cell cycle
Background: How to explore the dynamics of transition probabilities between phases of budding yeast cell cycle (BYCC) network based on the dynamics of protein activities that control this network?
Sajad Shafiekhani +3 more
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Stability of linear Boolean networks
18 pages, 3 ...
Karthik Chandrasekhar +3 more
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Physical random analysis of Boolean chaos
To analyze the physical randomness of Boolean chaos,the model for chaotic circuit system based on autonomous Boolean network was established.In addition,the equations of the Boolean network with phase noise were deduced.By considering the phase noise,the
Lishuang GONG +4 more
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A full bayesian approach for boolean genetic network inference. [PDF]
Boolean networks are a simple but efficient model for describing gene regulatory systems. A number of algorithms have been proposed to infer Boolean networks.
Shengtong Han +5 more
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Boolean networks are special types of finite state time-discrete dynamical systems. A Boolean network can be described by a function from an n-dimensional vector space over the field of two elements to itself. A fundamental problem in studying these dynamical systems is to link their long term behaviors to the structures of the functions that define ...
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SAILoR: Structure-Aware Inference of Logic Rules.
Boolean networks provide an effective mechanism for describing interactions and dynamics of gene regulatory networks (GRNs). Deriving accurate Boolean descriptions of GRNs is a challenging task.
Žiga Pušnik +3 more
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