60 citations · 72 across the 5 of their papers we have counts for
5 papers
Correcting hidden sampling biases in null models of canalizing Boolean networks
Ahana Ghosh, Claus Kadelka
Boolean networks are widely used to model gene regulatory systems. Their structural and dynamical properties are commonly interpreted by comparison with ensembles of random Boolean…
Canalization as a stabilizing principle of gene regulatory networks: a discrete dynamical systems perspective
Claus Kadelka
Gene regulatory networks exhibit remarkable stability, maintaining functional phenotypes despite genetic and environmental perturbations. Discrete dynamical models, such as Boolean…
Canalization reduces the nonlinearity of regulation in biological networks
Claus Kadelka, David Murrugarra
Biological networks such as gene regulatory networks possess desirable properties. They are more robust and controllable than random networks. This motivates the search for structu…
Projecting social contact matrices to populations stratified by binary attributes with known homophily
Claus Kadelka
Contact networks are heterogeneous. People with similar characteristics are more likely to interact, a phenomenon called assortative mixing or homophily. While age-assortativity is…
A meta-analysis of Boolean network models reveals design principles of gene regulatory networks
Claus Kadelka, Taras-Michael Butrie, Evan Hilton +3
Gene regulatory networks (GRNs) play a central role in cellular decision-making. Understanding their structure and how it impacts their dynamics constitutes thus a fundamental biol…