Understanding cancer complexome using networks, spectral graph theory and multilayer framework.

ABSTRACT: Cancer complexome comprises a heterogeneous and multifactorial milieu that varies in cytology, physiology, signaling mechanisms and response to therapy. The combined framework of network theory and spectral graph theory along with the multilayer analysis provides a comprehensive approach to analyze the proteomic data of seven different cancers, namely, breast, oral, ovarian, cervical, lung, colon and prostate. Our analysis demonstrates that the protein-protein interaction networks of the normal and the cancerous tissues associated with the seven cancers have overall similar structural and spectral properties. However, few of these properties implicate unsystematic changes from the normal to the disease networks depicting difference in the interactions and highlighting changes in the comple

SUBMITTER: Rai A 

PROVIDER: S-EPMC5290734 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature