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A large-scale machine learning classifier based on functional networks was used in [54] for the classification of biomedical data.
This paper proposes a new intelligence paradigm scheme to forecast that emphasizes on numerous software development elements based on functional networks forecasting framework.
Some of these analyses of brain integrity and connectivity using diffusion MRI, and others have mapped genetic effects on functional networks using resting state functional MRI.
In this case, I concentrated only on functional networks.
When lesions are modeled on functional networks, Stam et al. show that network changes in AD are driven mainly by a reduction of connections between highly connected vertices [35].
Successful neurological rehabilitation firstly depends on the accurate diagnosis of the underlying pathology, its anatomical foci, and the effects on functional networks and structural connections.
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Thus, we revised our paper to focus on functional network dynamics for context processing.
In terms of a large-scale brain network, in this paper, we focus on time-varying patterns of functional networks, i.e., functional dynamics, inherent in rs-fMRI, which is one of the emerging issues along with the network modelling.
Their analyses provide the opportunity to look into the behaviour of functional networks based on Ising model simulation in subcritical and supercritical temperature regions in order to understand the macroscopic brain mechanisms.
We utilize this heuristic approach for seed selection based on two observations for functional networks.
Nevertheless, although these tools are richly annotated and provide comprehensive lists of genes, they do not display how genes interact with one another and lack information on potential functional networks.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com