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- W4313173879 abstract "Signalling and genetic networks underlie most biological processes and are often complex, containing many highly connected components. Modelling these networks can provide insight into mechanisms but is challenging given that rate parameters are often not well defined. Boolean modelling, in which components can only take on a binary value with connections encoded by logic equations, is able to circumvent some of these challenges, and has emerged as a viable tool to probe these complex networks. In this review, we will give an overview of Boolean modelling, with a specific emphasis on its use in plant biology. We review how Boolean modelling can be used to describe biological networks and then discuss examples of its applications in plant genetics and plant signalling." @default.
- W4313173879 created "2023-01-06" @default.
- W4313173879 creator A5053825565 @default.
- W4313173879 date "2022-10-07" @default.
- W4313173879 modified "2023-10-13" @default.
- W4313173879 title "Author comment: Boolean modelling in plant biology — R1/PR6" @default.
- W4313173879 doi "https://doi.org/10.1017/qpb.2022.26.pr6" @default.
- W4313173879 hasPublicationYear "2022" @default.
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