Attractor-Specific and Common Expression Values in Random Boolean Network Models (with a Preliminary Look at Single-Cell Data)
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DOI: 10.3390/e24030311
Abstract: Random Boolean Networks (RBNs for short) are strongly simplified models of gene regulatory networks (GRNs), which have also been widely studied as abstract models of complex systems and have been used to simulate different phenomena.… read more here.
Keywords: network; random boolean; single cell; specific common ... See more keywords