Less Is More in Modeling Large Genetic Networks

By Stefan Bornholdt. Science, 2005

313 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/c6bc578762e5f56f1ed4110923902931a042f077

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In Molecular Biology

Citations in the corpus

Colloquium: Criticality and dynamical scaling in living systems (2017, background): “…to analyze large networks as they reduce the overwhelming complexity of the real problem to a logical one, and they have been shown to successfully explain e.g. cell cycles (Aldana, 2003; Bornholdt, 2005, 2008; De Jong, 2002; Drossel, 2008; Gros, 2008; Kauffman, 1996, 1993; Serra et al., 2007).”
Vital nodes identification in complex networks (2016, background): “Though to be extremely simple, Boolean network dynamics have found wide applications in explaining and analyzing biological functions like gene regulation in living cells [170, 171] and social phenomena like minority game in social networks [172, 173].”
Boolean Network Model Predicts Cell Cycle Sequence of Fission Yeast (2007, background): “. In the new approach outlined above, however, similar mathematical elements now serve to simulate one specific biological control network of fully known circuitry. From a different perspective, they can be viewed as a further simplification of the differential equation approach”
Analyzing and modeling real-world phenomena with complex networks: a survey of applications (2007, background): “Ot her dynamical processes investigated in genetic networks are discussed in [400].”
Structural and functional analysis of cellular networks with CellNetAnalyzer (2007, unknown): “well-known network structure provide an alternative approach still capable to gain useful insights in the functioning of these networks [ 3-6 ].”