In this paper we introduce the framework for the application of statistical mechanics to network theory, with a particular emphasis to the concept of entropy of network ensembles. This formalism provides novel observables and insights for the analysis of high-throughput transcriptomics data, integrated with apriori biological knowledge, embedded in-to available public databases of protein-protein interaction and cell signaling.

Entropy of a network ensemble: definitions and applications to genomic data

MENICHETTI, GIULIA;REMONDINI, DANIEL
2014

Abstract

In this paper we introduce the framework for the application of statistical mechanics to network theory, with a particular emphasis to the concept of entropy of network ensembles. This formalism provides novel observables and insights for the analysis of high-throughput transcriptomics data, integrated with apriori biological knowledge, embedded in-to available public databases of protein-protein interaction and cell signaling.
Menichetti, Giulia; Remondini, Daniel
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/549288
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