Results 41 to 50 of about 140,409 (275)
Fundamental Boolean network modelling for childhood acute lymphoblastic leukaemia pathways
Quantitative Biology, 2022 Background A novel data‐driven Boolean model, namely, the fundamental Boolean model (FBM), has been proposed to draw genetic regulatory insights into gene activation, inhibition, and protein decay, published in 2018.
Leshi Chen +2 more
doaj +1 more source
BMC Bioinformatics, 2017 Background Gene regulatory networks govern the function of key cellular processes, such as control of the cell cycle, response to stress, DNA repair mechanisms, and more.
Levi D. Mcclenny +2 more
doaj +1 more source
Response of Boolean networks to perturbations
, 2008 We evaluate the probability that a Boolean network returns to an attractor after perturbing h nodes. We find that the return probability as function of h can display a variety of different behaviours, which yields insights into the state-space structure.
Aleksiejuk +15 more
core +2 more sources
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
Discrete & 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
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
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
Symmetry in Critical Random Boolean Network Dynamics
, 2014 Using Boolean networks as prototypical examples, the role of symmetry in the dynamics of heterogeneous complex systems is explored. We show that symmetry of the dynamics, especially in critical states, is a controlling feature that can be used both to ...
Bassler, Kevin E. +2 more
core +1 more source
Harnessing Fungal Biowelding for Constructing Mycelium‐Engineered Materials
Advanced Engineering Materials, EarlyView.Mycelium‐bound composites (MBCs) offer low‐carbon alternatives for construction, yet interfacial bonding remains a critical challenge. This review examines fungal biowelding as a biocompatible adhesive, elucidating mycelium‐mediated interfacial mechanisms and their role in material assembly. Strategies to optimize biowelding are discussed, highlighting
Xue Brenda Bai +2 more
wiley +1 more source