A Data-Distribution and Successive Spline Points based discretization approach for evolving gene regulatory networks from scRNA-Seq time-series data using Cartesian Genetic Programming

The inference of gene regulatory networks (GRNs) is a widely addressed problem in Systems Biology. GRNs can be modeled as Boolean networks, which is the simplest approach for this task. However, Boolean models need binarized data. Several approaches have been developed for the discretization of gene...

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Veröffentlicht in:	BioSystems Jg. 236; S. 105126
Hauptverfasser:	da Silva, José Eduardo H., de Carvalho, Patrick C., Camata, José J., de Oliveira, Itamar L., Bernardino, Heder S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Ireland Elsevier B.V 01.02.2024
Schlagworte:	Cartesian Genetic Programming Data distribution Discretization Gene expression data Gene regulatory network Gene regulatory network Data distribution Gene expression data Discretization Cartesian Genetic Programming
ISSN:	0303-2647, 1872-8324, 1872-8324
Online-Zugang:	Volltext
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