Gene Network Sciences

All major network sciences seem to concur on the view that real networks are not random but are based on robust and strong organizational principles. As explained above, major metabohc network analysis techniques could be strongly influenced by the network reductionist approach, where the behavior of the network could be potentially predicted by its elementary constituents and their interactions alone. Therefore, the hierarchical and scale-free property of gene networks can effectively complement techniques like metabolic control analysis and become a vital tool in future gene network analysis (Almaas and Barabasi, 2006). 

Friedland, A.E. etal. (2009) Synthetic gene networks that count Science, 324 (5931), 1199-1202. 

Olson EN. (2006) Gene regulatory networks in the evolution and development of the heart. Science 5 5, 1922-7. 

Stuart JM, Segal E, Roller D, et al. A gene-coexpression network for global discovery of conserved genetic modules. Science. 2003,302,249-255. 

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