  Networks of genetic expression can be modelled by hypergraphs with the
additional structure that real coefficients are given to each vertex-edge
incidence. The spectra, i.e. the multiset of the eigenvalues, of such
hypergraphs, are known to encode structural information of the data. We show
how these spectra can be used, in particular, in order to give an estimation of
cellular redundancy, a novel measure of gene expression heterogeneity, of the
network. We analyze some simulated and real data sets of gene expression for
illustrating the new method proposed here.
