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	Provedor de dados Organic Eprints (2) Autor Bertholdsson, Nils-Ove (2) Brumlop, Sarah (1) Finckh, Maria R. (1) Weedon, Odette (1) Palavra-chave Genetics and propagation (2) Breeding (1) Cereals (1) Pulses and oilseeds Biodiversity and ecosystem services Breeding (1) Tipo do documento Journal paper (2) Ano 2016 (1) 2013 (1) País Germany (2) Idioma Inglês (1)		Registro completo Provedor de dados:  Nature Precedings País:  United Kingdom Título:  Neural Networks, Cell Genome and Interactome Nonlinear Dynamic Models Autores:  I. C. Baianu Data:  2011-08-06 Ano:  2011 Palavras-chave:  Biotechnology Cancer Chemistry Developmental Biology Genetics & Genomics Immunology Molecular Cell Biology Neuroscience Pharmacology Bioinformatics Evolutionary Biology Resumo:  Operational logic and bioinformatics models of nonlinear dynamics in complex functional systems such as neural networks, genomes and cell interactomes are proposed. Łukasiewicz Algebraic Logic models of genetic networks and signaling pathways in cells are formulated in terms of nonlinear dynamic systems with n-state components that allow for the generalization of previous logical models of both genetic activities and neural networks. An algebraic formulation of variable 'next-state functions' is extended to a Łukasiewicz Topos with an n-valued Łukasiewicz Algebraic Logic subobject classifier description that represents non-random and nonlinear network activities as well as their transformations in developmental processes and carcinogenesis. Tipo:  Manuscript Identificador:  http://precedings.nature.com/documents/6206/version/1 oai:nature.com:10101/npre.2011.6206.1 http://hdl.handle.net/10101/npre.2011.6206.1 Fonte:  Nature Precedings Direitos:  Creative Commons Attribution 3.0 License Fechar

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