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, G., Remondini, D. (2014). Entropy of a network ensemble: definitions and applications to genomic data. RIVISTA DI BIOLOGIA, 107(1-2), 77-87.
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.File in questo prodotto:
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