Understanding diseases as increased heterogeneity: a complex network computational framework

Owing to the complexity of the human body, most diseases present a high interpersonal variability in the way they manifest, i.e. in their phenotype, which has important clinical repercussions—for instance, the difficulty in defining objective diagnostic rules. Here we explore the hypothesis that sig...

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Veröffentlicht in:	Journal of the Royal Society interface 2018-08, Vol.15 (145), p.20180405
Hauptverfasser:	Zanin, Massimiliano, Tuñas, Juan Manuel, Menasalvas, Ernestina
Format:	Artikel
Sprache:	eng
Schlagworte:	Complex Networks Data Analysis Life Sciences–Mathematics interface Personalized Medicine
Online-Zugang:	Volltext
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