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Generating Realistic In Silico Gene Networks for Performance Assessment of Reverse Engineering Methods

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Generating Realistic In Silico Gene Networks for Performance Assessment of Reverse Engineering Methods

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From network models to network responses: integration of thermodynamic and kinetic properties of yeast genome-scale metabolic networks

Distributed Dynamics on Networks and their Applications in Network Communities, Sensor Networks and EEG's

Estimating small-world topology of neural networks from multi-electrode recordings

Estimation of small-world topology of cortical networks using Generalized Linear Models

GeneNetWeaver 3.0: realistic benchmark generation and performance profiling of network inference methods

Estimating small-world topology of neural networks from multi-electrode recordings

Experiences in measuring a human contact network for epidemiology research

Evolutionary reverse engineering of gene networks

Complex networks

Synchronizability of dynamical networks: different measures and coincidence

Estimating small-world topology of neural networks from multi-electrode recordings

Experiences in measuring a human contact network for epidemiology research

Estimating small-world topology of neural networks from multi-electrode recordings

From network models to network responses: integration of thermodynamic and kinetic properties of yeast genome-scale metabolic networks

Distributed Dynamics on Networks and their Applications in Network Communities, Sensor Networks and EEG's

Estimation of small-world topology of cortical networks using Generalized Linear Models

Evolutionary reverse engineering of gene networks

Synchronizability of dynamical networks: different measures and coincidence

Complex networks

GeneNetWeaver 3.0: realistic benchmark generation and performance profiling of network inference methods