Before revision:  This study is based on the Cancer Network Galaxy (TCNG) database which is the repository of huge gene interactions inferred by Bayesian network algorithms from 256 microarray experimental data downloaded from NCBI GEO . The original GEO data are provided by the high-throughput microarray expression experiments on various human cancer cells. 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:
After revision:  This study is based on the Cancer Network Galaxy (TCNG) database which is the repository of huge gene interactions inferred by Bayesian network algorithms from 256 NCBI GEO entries regarding gene expressions in human cancer cells were selected for the Bayesian network calculations. We observe the Wigner distribution of P(s) when the gene networks are dense networks that have large numbers of edges. In the opposite case, when the networks have small numbers of edges, P(s) becomes the Poisson distribution . Results: