#BooleanNetworks
1/4 Cool paper from Claus Kadelka's lab. "formalizing and systematically analyzing attractor coherence", by updating an older Willadesen & Wiles measure of attractor robustness in #BooleanNetworks (link in post below), to make it more scalable. The experiments with

www.biorxiv.org/content/10.1...
Attractors are less stable than their basins: Canalization creates a coherence gap in gene regulatory networks
Waddington’s epigenetic landscape has served as biology’s central metaphor for cellular differentiation for over half a century, depicting mature cell types as balls resting in stable valley floors. B...
www.biorxiv.org
November 17, 2025 at 5:30 PM
1/3 We are really happy to announce the latest version of our CANA Python package which allows the quantification of dynamical #redundancy and #canalization in #automata #complexnetworks, including effective connectivity and symmetry. #dynamics #BooleanNetworks
doi.org/10.1093/bioi...
CANA v1.0.0: efficient quantification of canalization in automata networks
AbstractSummary. The biomolecular networks underpinning cell function exhibit canalization, or the buffering of fluctuations required to function in a nois
doi.org
September 3, 2025 at 9:45 PM
Researchers show that a threshold or XOR Boolean network with 2^m nodes (m ≥ 2) can be controlled with a single control node, and they provide algorithms to find such nodes. https://getnews.me/few-control-nodes-required-for-threshold-and-xor-boolean-networks/ #booleannetworks #controltheory
September 22, 2025 at 3:54 PM
The paper introduces a tool for modeling the effects of stochastic perturbations on #Booleannetworks, enabling the exploration of network dynamics and #phenotypic effects in cellular processes.
February 14, 2025 at 2:02 PM