Entropy as a Geometrical Source of Information in Biological Organizations

Considering both biological and non-biological polygonal shape organizations, in this paper we introduce a quantitative method which is able to determine informational entropy as spatial differences between heterogeneity of internal areas from simulation and experimental samples. According to these...

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Detalles Bibliográficos
Autores principales: Lopez-Sauceda, Juan, von Bülow, Philipp, Ortega-Laurel, Carlos, Perez-Martinez, Francisco, Miranda-Perkins, Kalina, Carrillo-González, José Gerardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601958/
https://www.ncbi.nlm.nih.gov/pubmed/37420408
http://dx.doi.org/10.3390/e24101390

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601958/
https://www.ncbi.nlm.nih.gov/pubmed/37420408
http://dx.doi.org/10.3390/e24101390

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