Evidence of Scale-Free Topology and Dynamics in Gene Regulatory Networks

Physics – Condensed Matter – Disordered Systems and Neural Networks

Scientific paper

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4 pages, 3 figures, presented at the ISCA 12th International Conference IASSE July 9-11, 2003, San Francisco, California (repl

Scientific paper

Temporal gene expression data (Wen, et. al.) was analyzed using the recently introduced inverse modeling technique of Embedded Complex Logistic Maps (ECLM). Preliminary results indicate scale-free structure in the gene regulatory network topology as well as in the network's energy dissipation characteristics. General agreement was found with other recent studies involving a dynamical model and analyses of other biochemical networks exhibiting scale-free topology. The highlights of our study are briefly outlined.

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