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EnglishWe approach here the problem of defining and estimating the nature of the metabolite-metabolite association network underlying the human individual metabolic phenotype in healthy subjects. We retrieved significant associations using an entropy-based approach and a multiplex network formalism. We defined a significantly over-represented network formed by biologically interpretable metabolite modules. The entropy of the individual metabolic phenotype is also introduced and discussed.
| Titolo: | Entropy-Based Network Representation of the Individual Metabolic Phenotype |
| Autore/i: | Saccenti, Edoardo; MENICHETTI, GIULIA; Ghini, Veronica; REMONDINI, DANIEL; Tenori, Leonardo; Luchinat, Claudio |
| Autore/i Unibo: | |
| Anno: | 2016 |
| Rivista: | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1021/acs.jproteome.6b00454 |
| Abstract: | We approach here the problem of defining and estimating the nature of the metabolite-metabolite association network underlying the human individual metabolic phenotype in healthy subjects. We retrieved significant associations using an entropy-based approach and a multiplex network formalism. We defined a significantly over-represented network formed by biologically interpretable metabolite modules. The entropy of the individual metabolic phenotype is also introduced and discussed. |
| Data stato definitivo: | 2017-06-13T12:04:09Z |
| Appare nelle tipologie: | 1.01 Articolo in rivista |
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