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Found 5 papers, 3 papers with code
Fibration symmetry uncovers minimal regulatory networks for logical computation in bacteria
Symmetry principles have proven important in physics, deep learning and geometry, allowing for the reduction of complicated systems to simpler, more comprehensible models that preserve the system's features of interest.
Fibration symmetries and cluster synchronization in the Caenorhabditis elegans connectome
Capturing how the Caenorhabditis elegans connectome structure gives rise to its neuron functionality remains unclear.
Symmetry-driven network reconstruction through pseudobalanced coloring optimization
For that reason, a method to find pseudosymmetries and repair networks based on those symmetries is important when analyzing real world networks.
Quasifibrations of Graphs to Find Symmetries in Biological Networks
A fibration of graphs is an homomorphism that is a local isomorphism of in-neighbourhoods, much in the same way a covering projection is a local isomorphism of neighbourhoods.
Predicting synchronized gene coexpression patterns from fibration symmetries in gene regulatory networks in bacteria
We have recently shown that synchronized gene expression may be predicted from symmetries in the gene regulatory networks (GRN) and described by the concept of symmetry fibrations.
