For the receive ratio, a percentage of 50% has been selected, which results in about 32% packet loss for the links between two nodes which are positioned 20 m from each other.
A combination of purchasable hardware components is selected which results in a scaling factor regarding energy storage capacity and continuous power capability compared to the real sized energy storage (Table 4).
For each gene in a C3Net at most one gene neighbor with strongest mutual dependency is selected, which results in a highly reduced time complexity for multiple testing of mutual information.
From preliminary simulations, a neural network structure with 20 neurons in the first and 20 neurons in the second hidden layers was selected, which resulted in least mean square error, MSE, and highest coefficient of determination R2, when compared to those of the other model structures considered.
Due to small number of spleen sample repeats (n = 4), only those bearing reliable signal (≥3 up- or down-regulation) were selected, which resulted in 33729 candidates.
As a result, 376 Biological Process (BP) terms, 79 Cellular Component (CC) terms and 268 Molecular Function (MF) terms were selected, which resulted in 2280, 648 and 2035 genes in each category with the GO terms.
To ensure biological relevance of the OSCC network, the β value of 18 was selected which resulted in a network that was approximately scale-free, and yielded the exceptionally high signed scale-free topology fit (R) of 0.95.
For subsequent analysis, a P value of 0.005 was selected which resulted in a subset of 429 probes over-transcribed in the resistant VK sample and 357 probes under-transcribed compared to the susceptible Ngoussou strain.
Based on these calculations, a cutoff of 0.8 for the angular distance was selected, which resulted in 97% and 78% Fourier score based agreement for the Stöckel et al. [ 16] and Toepel et al. [ 17] data sets, respectively.
Genes/proteins responsible for hyperosmotic stress, heat shock, and oxidative stress were selected, which resulted in 1260 genes, 190 TFs, 348 proteins, 11262 TF-gene regulations, and 2276 protein-protein interactions in the candidate integrated cellular network.
