OBJECTIVE The objective of this work is to identify disrupted pathways in narcolepsy according to systematically tracking the dysregulated modules of reweighted Protein-Protein Interaction (PPI) networks. Here, we performed systematic identification and comparison of modules across normal and narcolepsy conditions by integrating PPI and gene-expression data. METHODS Firstly, normal and narcol...

The functional brain connectivity studies are generally based on the synchronization of the resting-state functional magnetic resonance imaging (fMRI) signals. Functional connectivity measures usually assume a stable relationship over time; however, accumulating studies have reported time-varying properties of strength and spatial distribution of functional connectivity. The present study explo...

Protein-protein interactions (PPI) refer to the associations between proteins and the study of these associations. Recent studies show that a network representation of proteins provides a more accurate model of biological systems and process compared to conventional pair-wise analysis. Many graph analysis has been proposed to the network for interactions prediction, pathway discovery and comple...

BACKGROUND Primary osteoporosis is an age-related disease, and the main cause of this disease is the failure of bone homeostasis. Previous studies have shown that primary osteoporosis is associated with gene mutations.To explore the functional modules of the PPI (protein-protein interaction) network of differentially expressed genes (DEGs), and the related pathways participating in primary oste...

Recently, the structural controllability theory has been introduced to analyze the ProteinProtein Interaction (PPI) network. The indispensable nodes, which their removal increase the number of driver nodes to control the network, are found essential in PPI network. However, the PPI network is far from complete and there may exist many false-positive or false-negative interactions, which promote...

The collective Protein:Protein Interactions (PPI) of a cell are thought to represent a system with emergent network properties that integrate signals from a multiplicity of inputs into coordinated responses. It is hypothesized that the PPI network supplies both specificity for many distinct signals that utilize common intermediate pathways, and also robustness by allowing specific signals to be...

Affinity measure is a key factor that determines the quality of the analysis of a complex network. Here, we introduce a type of statistics, activation forces, to weight the links of a complex network and thereby develop a desired affinity measure. We show that the approach is superior in facilitating the analysis through experiments on a large-scale word network and a protein-protein interactio...

In the last few years a large amount of protein interaction data has been collected and stored in public databases. The automatic analysis and management of such data can provide valuable information on the evolution of different organisms. To this aim, interaction data can be modelled as graphs where nodes represent cellular components and edges are associated to interactions. Such graphs are ...

Protein-protein interaction (PPI) networks carry vital information on the organization of molecular interactions in cellular systems. The identification of functionally relevant modules in PPI networks is one of the most important applications of biological network analysis. Computational analysis is becoming an indispensable tool to understand large-scale biomolecular interaction networks. Sev...

BACKGROUND One of the crucial steps toward understanding the biological functions of a cellular system is to investigate protein-protein interaction (PPI) networks. As an increasing number of reliable PPIs become available, there is a growing need for discovering PPIs to reconstruct PPI networks of interesting organisms. Some interolog-based methods and homologous PPI families have been propose...