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Publications
Some papers on biological networks that are of importance and have broad implications, in one person's view.
- Barabasi AL, Albert R., Emergence of scaling in random networks. Science. 1999 Oct 15;286(5439):509-12.
(This paper proposed the preferential attachment growth model to explain the power-law distribution of the connectivities in several complex networks. It turns out later that only linear model of preferential attachment can result in power-law distribution.)
- S.A. Kauffman, Metabolic stability and epigenesis in randomly constructued genetic nets. Journal of Theoretic Biology. 1969 22, 437-467.
(This paper proposed the NK model, which has led to a flood of publications to study the property of this random network model. Recent NK model based power-law distribution has been desmonstrated to more closely resemble real biological networks.)
- M. Aldana and Phillipe Cluzel, A natural Class of Robust networks, Proceedings of the National Academy of Sciences, 100 (15), July 2003, 8710-8714.
(A power-law based NK model is studied, which shows remarkable improvement over the original NK model. )
- Wiuf C, Brameier M, Hagberg O, Stumpf MP., A likelihood approach to analysis of network data. Proc Natl Acad Sci U S A. 2006 May 16;103(20):7566-70. (This paper uses a generative approach to describe network growth based on gene duplication. The implementation is at its infant stage, but the approach of this work is the first of its kind.)
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