Random Matrix Analysis for Gene Interaction Networks in Cancer Cells.

ABSTRACT: Investigations of topological uniqueness of gene interaction networks in cancer cells are essential for understanding the disease. Although cancer is considered to originate from the topological alteration of a huge molecular interaction network in cellular systems, the theoretical study to investigate such complex networks is still insufficient. It is necessary to predict the behavior of a huge complex interaction network from the behavior of a finite size network. Based on the random matrix theory, we study the distribution of the nearest neighbor level spacings P(s) of interaction matrices of gene networks in human cancer cells. The interaction matrices are computed using the Cancer Network Galaxy (TCNG) database which is a repository of gene interactions inferred by a Bayesian network

SUBMITTER: Kikkawa A 

PROVIDER: S-EPMC6045654 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature