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For each model, 500 sample networks are generated, and the distribution of their clustering coefficient is shown as boxplots.
While the nodes of a gene co-expression networks are genes, the nodes of our patient sample networks are breast cancer patients.
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Our results indicate that the standardized C(k) curve in weighted sample networks is a powerful tool for identifying sample characteristics with global effects on genomic activity.
A major advantage of constructing sample networks is that individual samples can subsequently be described using established node-based network concepts such as the connectivity and the clustering coefficient.
First, cor K, C) for each sample group is transformed using the Fisher transformation: (14) z = k 0.5 * log 1 + c o r K, C k 1 − c o r K, C k where k indexes the sample networks being compared.
Simulated results of a sample network are shown for fixed time control, TUC, and TUC-MPC strategies.
Our sample network was formed using a process called snowball-sampling [40]: For each user sampled, all their conversational tweets (i.e., tweets that are directed at another user) were recorded and any new users referenced added to a list of users from which the next user to be sampled is picked.
A sample network is also given to illustrate the procedure and to compare the computational experiences with those of previously established works.
A sample network is used to compare the proposed method with a Newton-type solution scheme; the resulting waveforms are also compared with those given by the PSCAD™/EMTDC™simulation software.
In this study, a sample network is prepared and problem is formulated to find out the residual chlorine concentration at various locations of simple DWDS network with intermittent water supply of 2 h for two different strategies of chlorine applications i.e. of conventional and booster chlorination.
A sample network was constructed to identify outlying samples with a standardized connectivity score of less than −2.5.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com