Entropy of a network ensemble: definitions and applications to genomic data.
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.
Giulia
G
Menichetti
Daniel
D
Remondini
D000818:Animals; D030541:Databases, Genetic; D019277:Entropy; D020869:Gene Expression Profiling / Q000379:methods; D005786:Gene Expression Regulation; D053263:Gene Regulatory Networks; D023281:Genomics / Q000379:methods*; D006801:Humans; D015233:Models, Statistical; D020411:Oligonucleotide Array Sequence Analysis; D025941:Protein Interaction Mapping; D060066:Protein Interaction Maps; D012333:RNA, Messenger / Q000378:metabolism; D049490:Systems Biology
D012333:RNA, Messenger