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Scaling, growth and cyclicity in biology: a new computational approach
BACKGROUND: The Phenomenological Universalities approach has been developed by P.P. Delsanto and collaborators during the past 2–3 years. It represents a new tool for the analysis of experimental datasets and cross-fertilization among different fields, from physics/engineering to medicine and social...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2008
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2289804/ https://www.ncbi.nlm.nih.gov/pubmed/18312622 http://dx.doi.org/10.1186/1742-4682-5-5 |
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author | Delsanto, Pier Paolo Gliozzi, Antonio S Guiot, Caterina |
author_facet | Delsanto, Pier Paolo Gliozzi, Antonio S Guiot, Caterina |
author_sort | Delsanto, Pier Paolo |
collection | PubMed |
description | BACKGROUND: The Phenomenological Universalities approach has been developed by P.P. Delsanto and collaborators during the past 2–3 years. It represents a new tool for the analysis of experimental datasets and cross-fertilization among different fields, from physics/engineering to medicine and social sciences. In fact, it allows similarities to be detected among datasets in totally different fields and acts upon them as a magnifying glass, enabling all the available information to be extracted in a simple way. In nonlinear problems it allows the nonscaling invariance to be retrieved by means of suitable redefined fractal-dimensioned variables. RESULTS: The main goal of the present contribution is to extend the applicability of the new approach to the study of problems of growth with cyclicity, which are of particular relevance in the fields of biology and medicine. CONCLUSION: As an example of its implementation, the method is applied to the analysis of human growth curves. The excellent quality of the results (R(2 )= 0.988) demonstrates the usefulness and reliability of the approach. |
format | Text |
id | pubmed-2289804 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-22898042008-04-08 Scaling, growth and cyclicity in biology: a new computational approach Delsanto, Pier Paolo Gliozzi, Antonio S Guiot, Caterina Theor Biol Med Model Research BACKGROUND: The Phenomenological Universalities approach has been developed by P.P. Delsanto and collaborators during the past 2–3 years. It represents a new tool for the analysis of experimental datasets and cross-fertilization among different fields, from physics/engineering to medicine and social sciences. In fact, it allows similarities to be detected among datasets in totally different fields and acts upon them as a magnifying glass, enabling all the available information to be extracted in a simple way. In nonlinear problems it allows the nonscaling invariance to be retrieved by means of suitable redefined fractal-dimensioned variables. RESULTS: The main goal of the present contribution is to extend the applicability of the new approach to the study of problems of growth with cyclicity, which are of particular relevance in the fields of biology and medicine. CONCLUSION: As an example of its implementation, the method is applied to the analysis of human growth curves. The excellent quality of the results (R(2 )= 0.988) demonstrates the usefulness and reliability of the approach. BioMed Central 2008-02-29 /pmc/articles/PMC2289804/ /pubmed/18312622 http://dx.doi.org/10.1186/1742-4682-5-5 Text en Copyright © 2008 Delsanto et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Delsanto, Pier Paolo Gliozzi, Antonio S Guiot, Caterina Scaling, growth and cyclicity in biology: a new computational approach |
title | Scaling, growth and cyclicity in biology: a new computational approach |
title_full | Scaling, growth and cyclicity in biology: a new computational approach |
title_fullStr | Scaling, growth and cyclicity in biology: a new computational approach |
title_full_unstemmed | Scaling, growth and cyclicity in biology: a new computational approach |
title_short | Scaling, growth and cyclicity in biology: a new computational approach |
title_sort | scaling, growth and cyclicity in biology: a new computational approach |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2289804/ https://www.ncbi.nlm.nih.gov/pubmed/18312622 http://dx.doi.org/10.1186/1742-4682-5-5 |
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