The analysis of possible cell differentiation scenarios of gene regulatory network models can represent an invaluable tool for testing existing hypotheses and developing new biological insights. For this reason, diffeRenTES, an R package that implements the abstractions of a prominent mathematical model of cell differentiation, is presented. diffeRenTES computes tree-like structures describing the progression of the cell differentiation process, starting from Boolean models of gene regulatory networks. Additionally, it offers the possibility to perform robustness analyses of Boolean networks.
Braccini M. (2023). diffeRenTES: An R package for computing cell differentiation trees from Boolean networks[Formula presented]. SOFTWARE IMPACTS, 15, 1-5 [10.1016/j.simpa.2023.100470].
diffeRenTES: An R package for computing cell differentiation trees from Boolean networks[Formula presented]
Braccini M.
2023
Abstract
The analysis of possible cell differentiation scenarios of gene regulatory network models can represent an invaluable tool for testing existing hypotheses and developing new biological insights. For this reason, diffeRenTES, an R package that implements the abstractions of a prominent mathematical model of cell differentiation, is presented. diffeRenTES computes tree-like structures describing the progression of the cell differentiation process, starting from Boolean models of gene regulatory networks. Additionally, it offers the possibility to perform robustness analyses of Boolean networks.| File | Dimensione | Formato | |
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