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• W2119580810 abstract "Approaches to describe gene regulation networks can be categorized by increasing detail, as network parts lists, network topology models, network control logic models or dynamic models. We discuss the current state of the art for each of these approaches. We study the relationship between different topology models, and give examples how they can be used to infer functional annotations for genes of unknown function. We introduce a new simple way of describing dynamic models called finite state linear model (FSLM). We discuss the gap between the parts list and topology models on one hand, and network logic and dynamic models, on the other hand. The first two classes of models have reached a genome-wide scale, while for the other model classes high-throughput technologies are yet to make a major impact." @default.
• W2119580810 created "2016-06-24" @default.
• W2119580810 creator A5019704028 @default.
• W2119580810 creator A5081419327 @default.
• W2119580810 date "2006-02-01" @default.
• W2119580810 modified "2023-10-18" @default.
• W2119580810 title "Modelling in molecular biology: describing transcription regulatory networks at different scales" @default.
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• W2119580810 doi "https://doi.org/10.1098/rstb.2005.1806" @default.
• W2119580810 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/1609346" @default.
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