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• W1526851954 abstract "Information processing and information flow occur at many levels in the course of an organism’s development and throughout its lifespan. Biological networks inside cells transmit information from their inputs (e.g. the concentrations of proteins or other signaling molecules) to their outputs (e.g. the expression levels of various genes). Moreover, cells do not exist in isolation, but they constantly interact with one another. We study the information flow in a model of interacting genetic networks, which are represented as Boolean graphs. It is observed that the information transfer among the networks is not linearly dependent on the amount of nodes that are able to influence the state of genes in surrounding cells." @default.
• W1526851954 created "2016-06-24" @default.
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• W1526851954 date "2010-01-01" @default.
• W1526851954 modified "2023-09-27" @default.
• W1526851954 title "Information Transfer among Coupled Random Boolean Networks" @default.
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• W1526851954 doi "https://doi.org/10.1007/978-3-642-15979-4_1" @default.
• W1526851954 hasPublicationYear "2010" @default.
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