sub-networks
A Clique Based Approach to the Identification of Common Gene Association Sub Networks
... association sub-networks from two species, we need to perform ortholog mapping from two ...common sub-networks are recovered for each ...
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Dynamic recruitment of resting state sub networks
... synchronising sub-networks ...of sub-networks (that are also observable in resting ...c sub- networks signi fi cantly increase their likelihood of occurrence during a ...
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The Study Of The Dynamics Of Electoral Sub-Networks In Albania Using Q-Functions.
... Another argument about the stability/instability issues could be based on multifractal analysis or EMD decomposition. To make use of time coordinate, one idea comes from the network aging. Here we assume that if the ...
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Perturbed human sub-networks by Fusobacterium nucleatum candidate virulence proteins
... Our network-based analysis identified 31 functional modules in the human interactome preferentially targeted by 138 Fuso Secretome proteins, among which we selected 26 as main candidate [r] ...
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Parallel community detection based on distance dynamics for large scale network
... of sub-networks, then parallel cluster each sub-network to get the final distance of each edge by using the distance dynamics model, collects all edges with long distance from all ...
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IJCSMC, Vol. 3, Issue. 7, July 2014, pg.930 – 935 RESEARCH ARTICLE A Central Router Controller Adaptive Optimization for Nested Mobile Network
... The presented work is implemented in NS2 environment. The communication scenario considered in this work is shown in table 1. The network is defined with 5 sub networks initially. Each such network is ...
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The immune-body cytokine network defines a social architecture of cell interactions
... interface sub-networks allow many different cell types to appear in the various nodes present in three-cell connections, and these sub-networks do not show the clear five-tiered hierarchy of ...
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Gene regulatory network reveals oxidative stress as the underlying molecular mechanism of type 2 diabetes and hypertension
... complex networks of genes and proteins along with their regulatory networks ...these networks, exploring how they have been linked and characterizing how they have evolved- novel disease markers can ...
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Construction and Robustness of Interdependent Networks via Time Series and Visibility Graph
... interdependent networks via time series and visibility graph in this ...two sub-networks, firstly, based on the visibility graph method, two subnets of the interdependent network are constructed with ...
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Identification of new biomarker candidates for glucocorticoid induced insulin resistance using literature mining
... of sub networks with a shared biological function, we investigated which drugs and diseases in the literature are specifically linked to this network using a keyword enrichment analysis on the list of IR ...
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RISN: An Efficient Sensor Network Overlay with Support for Autonomous and Distributed Applications
... the sub-networks, IIS must deal with 1) inter- operating communication protocols, 2) data format con- version, and optionally, 3) data ...by sub-networks in its ...underlying ...
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Synchronizability of random rectangular graphs
... complex networks or their sub-networks possess excellent dynamical properties such as high dynamic syn- chronizability, good controllability, and fast information transmission ...
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An multi-scale learning network with depthwise separable convolutions
... We present a simple multi-scale learning network for image classification that is inspired by the MobileNet. The proposed method has two advantages: (1) It uses the multi-scale block with depthwise separable ...
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Identification OF Post-Combustion Sub-Process Using Artificial Neural Networks
... neural networks due to its great versatility and to the continuous advance in network training algorithms as well as in hardware ...neural networks, for the future implementation of a control architecture ...
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Analysis of Gene Sets Based on the Underlying Regulatory Network
... Although the above permutation-based methods are computationally intensive, they include minimum assumptions about the underlying biological model and are therefore more robust to model misspecification. An alternative ...
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High-resolution DEM generated from LiDAR data for water resource management
... of sub-catchment boundaries between outcomes of using the 5m and 20m resolution LiDAR DEMs (Figure ...of sub- catchments, with a total number of 2979 sub- ...of sub-catchment boundaries were ...
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Implementing Divide and Conquer Technique for a Big-Data Traffic
... Recent business trends suggest that, big data analysis is becoming indispensable for automatic discovering of intelligence that is involved in the frequently-occurring patterns and hidden rules but it takes more time to ...
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Dystechnia: a model of technology deficiency and implications for entrepreneurial opportunity
... innovation networks and know- ledge clusters) and knowledge meta-clusters (clusters of innovation networks and knowledge clusters) organized in a self-referential or chaotic fractal (Gleick 1987) know- ...
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Influence spreading model used to analyse social networks and detect sub-communities
... A dynamic influence spreading model is presented for computing network central- ity and betweenness measures. Network topology, and possible directed connec- tions and unequal weights of nodes and links, are essential ...
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Identification of fever and vaccine-associated gene interaction networks using ontology-based literature mining
... In an extended study, the application of the Vaccine Ontology (VO) significantly improved the analysis of the vaccine-specific IFN- γ sub-network [11]. A biomedical ontol- ogy is a controlled set of terms and ...
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