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To demonstrate the utility of the human cell metadata, we have carried out a clustering analysis using the network tool BioLayout Express3D.
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In this section, several experimental simulations are presented by using the network simulator tool (NS 2.35) [38].
The scheme was compared with existing mechanisms over an urban scenario using the network simulator tool OPNET [10] with an empirical-based propagation model [29], realistic mobility patterns using the road traffic simulator SUMO [30], and the Wave [1] standard.
We have developed a VANET simulation environment using the network simulation tool OPNET V.12 [10] to evaluate the performance of the PACK algorithm over the Slotted Restricted Mobility-Based SRMB) broadcast algorithMobility-Based SRMBis with the VANET specific Wave Short Message Protocol (WSMP) broadcastalgorithmied model of the Wand communintegratedthisard (parameters are showithn thele 2).
(2 Determined using the network analysis tool of Cytoscape (2.8.2).
The correlation network plot was generated using the network visualization tool, Cytoscape (version 2.83).
These interactions can be visualized using the network visualization tool VisANT [36].
Using the network analysis tool BioLayout Express3D [ 23] we constructed a 3-D network of transcripts identified as being differently expressed following Ifng stimulation.
Analysis of the entire dataset using the network analysis tool Biolayout Express3D serves to highlight clusters of genes that share regulatory patterns across genetic and cellular variation.
Using the network analysis tool BioLayout Express3D we identify robust co-associations of genes expressed in a wide variety of cell lineages.
Using the network analyst tool in ArcView, a routes feature layer was generated after the analysis, which stored the resultant shortest networked and Euclidean routes from households to the closest health facility.
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