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http://www.repositorio.ufop.br/jspui/handle/123456789/821
Título: | Global analysis of the immune response. |
Autor(es): | Ribeiro, Leonardo Costa Dickman, Ronald Bernardes, Américo Tristão |
Palavras-chave: | Immune system Scale free networks Global response Hurst exponent |
Data do documento: | 2008 |
Referência: | RIBEIRO, L. C.; DICKMAN, R. BERNARDES, A. T. Global analysis of the immune response. Physica A, v. 387, n. 24, p. 6137-615, out. 2008. Disponível em: <https://www.sciencedirect.com/science/article/pii/S0378437108005803>. Acesso em: 05 jun. 2012. |
Resumo: | The immune system may be seen as a complex system, characterized using tools developed in the study of such systems, for example, surface roughness and its associated Hurst exponent. We analyze densitometric (Panama blot) profiles of immune reactivity, to classify individuals into groups with similar roughness statistics. We focus on a population of individuals living in a region in which malaria endemic, as well as a control group from a disease-free region. Our analysis groups individuals according to the presence, or absence, of malaria symptoms and number of malaria manifestations. Applied to the Panama blot data, our method proves more effective at discriminating between groups than principal-components analysis or super-paramagnetic clustering. Our findings provide evidence that some phenomena observed in the immune system can be only understood from a global point of view. We observe similar tendencies between experimental immune profiles and those of artificial profiles, obtained from an immune network model. The statistical entropy of the experimental profiles is found to exhibit variations similar to those observed in the Hurst exponent. |
URI: | http://www.repositorio.ufop.br/handle/123456789/821 |
ISSN: | 03784371 |
Licença: | O Periódico Physica A concede permissão para depósito do artigo no Repositório Institucional da UFOP. Número da licença: 3286431159421. |
Aparece nas coleções: | DEFIS - Artigos publicados em periódicos |
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ARTIGO_GlobalAnalysisImmune.pdf | 1,23 MB | Adobe PDF | Visualizar/Abrir |
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