Author(s)

Gaolin Zheng, Assefa Tesfay, Xinyu Huang, Alade Tokuta

Department of Mathematics and Computer Science, North Carolina Central University, Durham, USA.

We developed a computational framework to identify common gene association sub-network. This framework combines graphical lasso model, graph product and a replicator equation based clique solver. We applied this method to find common stress responsive sub-networks from two related Deinococcus-Thermus bacterial species.

Graphical Lasso Model; Quadratic Maximization; Subgraph Isomorphism; Clique; Replicator Equation; Gene Association Network

G. Zheng, A. Tesfay, X. Huang and A. Tokuta, "A Clique-Based Approach to the Identification of Common Gene Association Sub-Networks," Applied Mathematics, Vol. 4 No. 6, 2013, pp. 893-898. doi: 10.4236/am.2013.46123.