Data/hora: 12/06/2024 14:16:21

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 &amp; 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. &amp;#x141;ukasiewicz 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 &amp;#x27;next-state functions&amp;#x27; is extended to a &amp;#x141;ukasiewicz Topos with an n-valued &amp;#x141;ukasiewicz 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
Fonte: | Creative Commons Attribution 3.0 License