Results 1 to 10 of about 20,901 (253)

Analyzing capacitated networks via Boolean-based coherent pseudo-Boolean functions [PDF]

Network Biology, 2021
This paper introduces a novel method for analyzing capacitated networks through the utilization of the concept of a "probability-ready expression" for a Boolean-based coherent pseudo-Boolean function. Our main concern is to assess the performance indexes
Ali Muhammad Ali Rushdi, Omar Mutab Alsalami   +1 more
doaj  

Computing preimages of Boolean networks [PDF]

BMC Bioinformatics, 2013
Submitted to WCSB ...
Johannes Georg Klotz, Martin Bossert, Steffen Schober   +2 more
openaire   +3 more sources

ViBEx: A Visualization Tool for Gene Expression Analysis

BioMedInformatics
Background: Variations in the states of Gene Regulatory Networks significantly influence disease outcomes and drug development. Boolean Networks serve as a tool to conceptualize and understand the complex relationships between genes.
Michael H. Terrefortes-Rosado, Andrea V. Nieves-Rivera, Humberto Ortiz-Zuazaga, Marie Lluberes-Contreras   +3 more
doaj   +1 more source

Structural Controllability of Boolean Control Networks under Partial Information

Complexity, 2021
It is worth noting that both nodes’ coupling connections and logical updating functions play a vital role in state evolutions of Boolean networks (BNs).
Qinyao Pan, Jie Zhong, Shalin Tong, Bowen Li, Xiaoxu Liu   +4 more
doaj   +1 more source

A Note on the Observability of Temporal Boolean Control Network

Abstract and Applied Analysis, 2013
Temporal Boolean network is a generalization of the Boolean network model that takes into account the time series nature of the data and tries to incorporate into the model the possible existence of delayed regulatory interactions among genes. This paper
Wenping Shi, Bo Wu, Jing Han
doaj   +1 more source

Evolving sensitivity balances Boolean Networks. [PDF]

PLoS ONE, 2012
We investigate the sensitivity of Boolean Networks (BNs) to mutations. We are interested in Boolean Networks as a model of Gene Regulatory Networks (GRNs). We adopt Ribeiro and Kauffman's Ergodic Set and use it to study the long term dynamics of a BN. We
Jamie X Luo, Matthew S Turner
doaj   +1 more source

A Novel Data-Driven Boolean Model for Genetic Regulatory Networks

Frontiers in Physiology, 2018
A Boolean model is a simple, discrete and dynamic model without the need to consider the effects at the intermediate levels. However, little effort has been made into constructing activation, inhibition, and protein decay networks, which could indicate ...
Leshi Chen, Don Kulasiri, Sandhya Samarasinghe   +2 more
doaj   +1 more source

Contextual Random Boolean Networks

, 2003
We propose the use of Deterministic Generalized Asynchronous Random Boolean Networks [Gershenson, 2002] as models of contextual deterministic discrete dynamical systems. We show that changes in the context have drastic effects on the global properties of the same networks, namely the average number of attractors and the average percentage of states in ...
Carlos Gershenson, Jan Broekaert, Diederik Aerts   +2 more
openaire   +3 more sources

Boolean networks synchronism sensitivity and XOR circulant networks convergence time [PDF]

Electronic Proceedings in Theoretical Computer Science, 2012
In this paper are presented first results of a theoretical study on the role of non-monotone interactions in Boolean automata networks. We propose to analyse the contribution of non-monotony to the diversity and complexity in their dynamical behaviours ...
Mathilde Noual, Damien Regnault, Sylvain Sené   +2 more
doaj   +1 more source

Algorithms for extracting subsystems from a multilevel representation of a system of Boolean functions for joint minimization

Informatika
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, N. A. Kirienko, V. I. Romanov   +2 more
doaj   +1 more source