Structure of Protein Interaction Network Associated With Alzheimer’s Disease Using Graphlet Based Techniques

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Date

2022

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Springer Science and Business Media B.V.

Abstract

The crucial step in analyzing a real-world network is to choose an acceptable network model. We try to select an appropriate network model for the protein-protein interaction (PPI) network of Alzheimer’s disease (AD) using Graphlet-based metrics. The Relative Graphlet Frequency (RGF) count in the AD-PPI network is similar to that of the corresponding Scale-Free network. However, based on Graphlet Degree Distribution (GDD), the AD-PPI network has a good match with Geometric random graphs. The graphlet correlation statistics of the AD network show that it has a core-periphery topology. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Keywords

Alzheimer’s disease, Graphlet Correlation Matrix, Graphlets, Protein-protein interaction networks

Citation

Springer Proceedings in Complexity, 2022, Vol., , p. 527-534

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