Influence maximization in Boolean networks

T Parmer, LM Rocha, F Radicchi - Nature communications, 2022 - nature.com
The optimization problem aiming at the identification of minimal sets of nodes able to drive
the dynamics of Boolean networks toward desired long-term behaviors is central for some …

Quorum-Sensing Systems in the Plant Growth-Promoting Bacterium Paraburkholderia phytofirmans PsJN Exhibit Cross-Regulation and Are Involved in Biofilm …

A Zuniga, RA Donoso, D Ruiz, GA Ruz… - Molecular Plant …, 2017 - Am Phytopath Society
Quorum-sensing systems play important roles in host colonization and host establishment of
Burkholderiales species. Beneficial Paraburkholderia species share a conserved quorum …

Structural robustness and vulnerability of networks

AC Schwarze, J Jiang, J Wray, MA Porter - arxiv preprint arxiv …, 2024 - arxiv.org
Networks are useful descriptions of the structure of many complex systems. Unsurprisingly, it
is thus important to analyze the robustness of networks in many scientific disciplines. In …

Advances and challenges in logical modeling of cell cycle regulation: perspective for multi-scale, integrative yeast cell models

M Barberis, RG Todd, L van der Zee - Yeast Research, 2017 - academic.oup.com
The eukaryotic cell cycle is robustly designed, with interacting molecules organized within a
definite topology that ensures temporal precision of its phase transitions. Its underlying …

Dynamical and topological robustness of the mammalian cell cycle network: A reverse engineering approach

GA Ruz, E Goles, M Montalva, GB Fogel - Biosystems, 2014 - Elsevier
A common gene regulatory network model is the threshold Boolean network, used for
example to model the Arabidopsis thaliana floral morphogenesis network or the fission yeast …

Gene regulatory networks with binary weights

GA Ruz, E Goles - Biosystems, 2023 - Elsevier
An evolutionary computation framework to learn binary threshold networks is presented.
Inspired by the recent trend of binary neural networks, where weights and activation …

Reconstruction of a GRN model of salt stress response in Arabidopsis using genetic algorithms

GA Ruz, T Timmermann, E Goles - 2015 IEEE conference on …, 2015 - ieeexplore.ieee.org
Salinity is one of the main problems in agriculture, negatively influencing the survival,
biomass production, and yield of food crops. Exposure to high salinity is connected with …

Learning binary threshold networks for gene regulatory network modeling

GA Ruz, E Goles - 2022 IEEE Conference on Computational …, 2022 - ieeexplore.ieee.org
Inspired by the resent trend of binary neural net-works, where weights and activation
thresholds are represented using 1 and− 1 such that they can be stored in 1-bit instead of …

Complexity of limit cycles with block-sequential update schedules in conjunctive networks

J Aracena, F Bridoux, L Gómez, L Salinas - Natural Computing, 2023 - Springer
In this paper, we deal with the following decision problem: given a conjunctive Boolean
network defined by its interaction digraph, does it have a limit cycle of a given length k? We …

Logical reduction of biological networks to their most determinative components

MT Matache, V Matache - Bulletin of mathematical biology, 2016 - Springer
Boolean networks have been widely used as models for gene regulatory networks, signal
transduction networks, or neural networks, among many others. One of the main difficulties …