Applications of network entropy to gene expression time series data

Giulia Menichetti

University of Bologna, Physics Department, Bologna, Italy

The statistical properties of integrated PPI-mRNA expression networks seem to be good observables in order to investigate systemic pathologies as cancer and ageing. It is widely recognized that approaches based on single-gene differential expression analysis are too simplistic and have been replaced by network-based methods. In particular, we suggest the using of Network Entropy as a global observable to follow when gene expression data evolve in time.

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