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Preparation, number of estimated cells, and management of the network plan are the three phases for achieving an accurate network plan.
Two important prerequisites to build and test dynamic transportation network vulnerability assessment algorithms are (i) map extraction tools and (ii) an accurate network demand profile to test algorithms on these maps.
This result shows the relevance for the network operator of an accurate network planning.
To obtain an accurate network model, an intersection model is required.
That way, an accurate network representation of the investigated infrastructure can be obtained in an automated way, shown for the City of Graz in Fig. 1.
This lack of correlation suggests that the number of components (genes, reactions, etc). in a network does not impact our ability to reconstruct an accurate network.
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Indeed, we obtained significant P values (at a significance level of 5%) for only four genes in the PIN, making difficult an accurate network-level analysis for positive selection at this evolutionary time-scale.
A comparison with the K-means clustering algorithm shows that for this application the proposed method with a smaller number of samples is producing a more accurate network.
In order to obtain a more accurate network, we decided to focus on a small set of genes for which the biological information was more complete, they were previously implicated in MS and having them distributed among five basic functions associated with T-cell activation.
The chances of finding a more accurate network increases when training multiple networks while varying the initial weights, thus starting in different points on the surface.
We base our estimates on only the final 45 days of the data collection time period in order to ensure that they are based on a maximally accurate network representation.
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CEO of Professional Science Editing for Scientists @ prosciediting.com