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.
Saccenti, E., Menichetti, G., Ghini, V., Remondini, D., Tenori, L., Luchinat, C. (2016). Entropy-Based Network Representation of the Individual Metabolic Phenotype. JOURNAL OF PROTEOME RESEARCH, 15(9), 3298-3307 [10.1021/acs.jproteome.6b00454].
Entropy-Based Network Representation of the Individual Metabolic Phenotype
MENICHETTI, GIULIA;REMONDINI, DANIEL;
2016
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
