Results 41 to 50 of about 141,702 (274)
Stability of linear Boolean networks
Physica D: Nonlinear Phenomena, 2023 18 pages, 3 ...
Karthik Chandrasekhar +3 more
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A full bayesian approach for boolean genetic network inference. [PDF]
PLoS ONE, 2014 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
doaj +1 more source
Canalizing Kauffman networks: non-ergodicity and its effect on their critical behavior
, 2005 Boolean Networks have been used to study numerous phenomena, including gene regulation, neural networks, social interactions, and biological evolution. Here, we propose a general method for determining the critical behavior of Boolean systems built from ...
André Auto Moreira +6 more
core +1 more source
Discrete and Continuous Dynamical Systems - S, 2011 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 ...
openaire +2 more sources
PLoS ONE, 2014 In this paper, we consider the Minimum Reaction Insertion (MRI) problem for finding the minimum number of additional reactions from a reference metabolic network to a host metabolic network so that a target compound becomes producible in the revised host
Wei Lu +3 more
doaj +1 more source
The Influence of Canalization on the Robustness of Boolean Networks
, 2016 Time- and state-discrete dynamical systems are frequently used to model molecular networks. This paper provides a collection of mathematical and computational tools for the study of robustness in Boolean network models.
Albert +37 more
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An efficient algorithm for computing attractors of synchronous and asynchronous Boolean networks. [PDF]
PLoS ONE, 2013 Biological networks, such as genetic regulatory networks, often contain positive and negative feedback loops that settle down to dynamically stable patterns.
Desheng Zheng +5 more
doaj +1 more source
State Concentration Exponent as a Measure of Quickness in Kauffman-type Networks
, 2013 We study the dynamics of randomly connected networks composed of binary Boolean elements and those composed of binary majority vote elements. We elucidate their differences in both sparsely and densely connected cases.
Hiroyasu Ando +6 more
core +1 more source
Perturbation propagation in random and evolved Boolean networks
, 2009 We investigate the propagation of perturbations in Boolean networks by evaluating the Derrida plot and modifications of it. We show that even small Random Boolean Networks agree well with the predictions of the annealed approximation, but non-random ...
Agnes Szejka +5 more
core +1 more source
A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho +7 more
wiley +1 more source