Results 51 to 60 of about 3,130,788 (278)
Dynamical methods for target control of biological networks
Estimating the influence that individual nodes have on one another in a Boolean network is essential to predict and control the system’s dynamical behaviour, for example, detecting key therapeutic targets to control pathways in models of biological ...
Thomas Parmer, Filippo Radicchi
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Statistical Self-Similar Properties of Complex Networks [PDF]
It has been shown that many complex networks shared distinctive features, which differ in many ways from the random and the regular networks. Although these features capture important characteristics of complex networks, their applicability depends on ...
B. Bollobás +2 more
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Analyzing and Resolving Infeasibility in Flux Balance Analysis of Metabolic Networks
Flux balance analysis (FBA) is a key method for the constraint-based analysis of metabolic networks. A technical problem may occur in FBA when known (e.g., measured) fluxes of certain reactions are integrated into an FBA scenario rendering the underlying
Steffen Klamt, Axel von Kamp
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Error-correcting decoders for communities in networks
As recent work demonstrated, the task of identifying communities in networks can be considered analogous to the classical problem of decoding messages transmitted along a noisy channel.
Krishna C. Bathina, Filippo Radicchi
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On out-of-equilibrium phenomena in pseudogap phase of complex SYK+U model
In this Letter we consider the out-of-equilibrium phenomena in the complex Sachdev-Ye-Kitaev (SYK) model supplemented with the attractive Hubbard interaction (SYK+U). This model provides the clear-cut transition from non-Fermi liquid phase in pure SYK to
Artem Alexandrov, Alexander Gorsky
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Random Walks on Complex Networks [PDF]
We investigate random walks on complex networks and derive an exact expression for the mean first passage time (MFPT) between two nodes. We introduce for each node the random walk centrality $C$, which is the ratio between its coordination number and a ...
Noh, Jae Dong, Rieger, Heiko
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This article deals with complex networks, and in particular small world and scale free networks. Various networks exhibit the small world phenomenon, including social networks and gene expression networks. The local ordering property of small world networks is typically associated with regular networks such as a 2D square lattice.
Rodgers, GJ, Nagao, T
openaire +3 more sources
A mixed-modeling framework for analyzing multitask whole-brain network data [PDF]
The emerging area of brain network analysis considers the brain as a system, providing profound insight into links between system-level properties and health outcomes.
Sean L. Simpson +2 more
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Neighborhood properties of complex networks [PDF]
A concept of neighborhood in complex networks is addressed based on the criterion of the minimal number os steps to reach other vertices. This amounts to, starting from a given network $R_1$, generating a family of networks $R_\ell, \ell=2,3,...$ such ...
A. Crisanti +12 more
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Network-based in silico drug efficacy screening
Attempts to predict novel use for existing drugs rarely consider information on the impact on the genes perturbed in a given disease. Here, the authors present a novel network-based drug-disease proximity measure that provides insight on gene specific ...
Emre Guney +3 more
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