Before revision:  We apply the random matrix theory to the computationally inferred gene interaction networks in TCNG in order to detect the universality in the topology of the gene interaction networks in cancer cells . Results: We found the universal behavior in almost one half of the 256 gene interaction networks in TCNG. The distribution of nearest neighbor level spacing of the gene interaction matrix becomes the Wigner distribution when the network is large (condensed) , and it behaves as Poisson distributionwhen the network is smaller.
After revision:  We apply the random matrix theory to the computationally inferred gene interaction networks in TCNG in order to detect the universality in the topology of the gene interaction networks in cancer cells . We investigate relevance of P(s) both to the size of the networks and to edge frequencies that manifest reliance of the 256 gene interaction networks in TCNG. The distribution of nearest neighbor level spacing of the gene interaction matrix becomes the Wigner distribution when the network is large (condensed) , and it behaves as Poisson distributionwhen the network is smaller.