English

Spectral analysis for gene communities in cancer cells

Molecular Networks 2019-09-25 v2 Data Analysis, Statistics and Probability

Abstract

We investigate gene interaction networks in various cancer cells by spectral analysis of the adjacency matrices. We observe localization of the networks on hub genes which have extraordinarily many links. The eigenvector centralities take finite values only on special nodes when the hub degree exceeds a critical value dc40d_c \simeq 40. The degree correlation function shows the disassortative behavior in the large degrees, and the nodes whose degrees d40d \gtrsim 40 have tendencies to link to small degree nodes. The communities of the gene networks centered at the hub genes are extracted by the amount of node degree discrepancies between linked nodes. We verify the Wigner-Dyson distribution of the nearest neighbor eigenvalues spacing distribution P(s)P(s) in the small degree discrepancy communities, and the Poisson P(s)P(s) in the communities of large degree discrepancies including the hubs.

Keywords

Cite

@article{arxiv.1909.02695,
  title  = {Spectral analysis for gene communities in cancer cells},
  author = {Ayumi Kikkawa},
  journal= {arXiv preprint arXiv:1909.02695},
  year   = {2019}
}

Comments

15 pages, 7 figures, 1 table