The transfer and transformation of collective network information in gene-matched networks.

ABSTRACT: Networks, such as the human society network, social and professional networks, and biological system networks, contain vast amounts of information. Information signals in networks are distributed over nodes and transmitted through intricately wired links, making the transfer and transformation of such information difficult to follow. Here we introduce a novel method for describing network information and its transfer using a model network, the Gene-matched network (GMN), in which nodes (neurons) possess attributes (genes). In the GMN, nodes are connected according to their expression of common genes. Because neurons have multiple genes, the GMN is cluster-rich. We show that, in the GMN, information transfer and transformation were controlled systematically, according to the activity level

SUBMITTER: Kitsukawa T 

PROVIDER: S-EPMC4598864 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature