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Scale-free networks in metabolomics

Metabolomics is an expanding discipline in biology. It is the process of portraying the phenotype of a cell, tissue or species organism using a comprehensive set of metabolites. Therefore, it is of interest to understand complex systems such as metabolomics using a scale-free topology. Genetic netwo...

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Detalles Bibliográficos
Autores principales: Rajula, Hema Sekhar Reddy, Mauri, Matteo, Fanos, Vassilios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5953857/
https://www.ncbi.nlm.nih.gov/pubmed/29785073
http://dx.doi.org/10.6026/97320630014140
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author Rajula, Hema Sekhar Reddy
Mauri, Matteo
Fanos, Vassilios
author_facet Rajula, Hema Sekhar Reddy
Mauri, Matteo
Fanos, Vassilios
author_sort Rajula, Hema Sekhar Reddy
collection PubMed
description Metabolomics is an expanding discipline in biology. It is the process of portraying the phenotype of a cell, tissue or species organism using a comprehensive set of metabolites. Therefore, it is of interest to understand complex systems such as metabolomics using a scale-free topology. Genetic networks and the World Wide Web (WWW) are described as networks with complex topology. Several large networks have vertex connectivity that goes beyond a scale-free power-law distribution. It is observed that (a) networks expand constantly by the addition of recent vertices, and (b) recent vertices attach preferentially to sites that are already well connected. Scalefree networks are determined with precision using vital features such as a structure, a disease and a patient. This is pertinent to the understanding of complex systems such as metabolomics. Hence, we describe the relevance of scale-free networks in the understanding of metabolomics in this article.
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spelling pubmed-59538572018-05-21 Scale-free networks in metabolomics Rajula, Hema Sekhar Reddy Mauri, Matteo Fanos, Vassilios Bioinformation Views Metabolomics is an expanding discipline in biology. It is the process of portraying the phenotype of a cell, tissue or species organism using a comprehensive set of metabolites. Therefore, it is of interest to understand complex systems such as metabolomics using a scale-free topology. Genetic networks and the World Wide Web (WWW) are described as networks with complex topology. Several large networks have vertex connectivity that goes beyond a scale-free power-law distribution. It is observed that (a) networks expand constantly by the addition of recent vertices, and (b) recent vertices attach preferentially to sites that are already well connected. Scalefree networks are determined with precision using vital features such as a structure, a disease and a patient. This is pertinent to the understanding of complex systems such as metabolomics. Hence, we describe the relevance of scale-free networks in the understanding of metabolomics in this article. Biomedical Informatics 2018-03-31 /pmc/articles/PMC5953857/ /pubmed/29785073 http://dx.doi.org/10.6026/97320630014140 Text en © 2018 Biomedical Informatics http://creativecommons.org/licenses/by/3.0/ This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
spellingShingle Views
Rajula, Hema Sekhar Reddy
Mauri, Matteo
Fanos, Vassilios
Scale-free networks in metabolomics
title Scale-free networks in metabolomics
title_full Scale-free networks in metabolomics
title_fullStr Scale-free networks in metabolomics
title_full_unstemmed Scale-free networks in metabolomics
title_short Scale-free networks in metabolomics
title_sort scale-free networks in metabolomics
topic Views
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5953857/
https://www.ncbi.nlm.nih.gov/pubmed/29785073
http://dx.doi.org/10.6026/97320630014140
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