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This final matrix was then applied to all research questions.
This final matrix corresponds to the knowledge the network has extracted from the inputs.
We analyzed this final matrix (supplementary data set S1, Supplementary Material online) by utilizing CIPRES resources (Miller et al. 2010) to run RAxML v. 7.6.3 (Stamatakis 2006; Stamatakis et al. 2008) with the following settings: -p 6540444 -x 18884 -N 1000 -k -f a -m GTRCAT.
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The 832 half-metboxes identified this way were used to create the final matrix (Table 3).
This yielded a total of 4161 species in 855 genera in the final matrix, 44% of the 9416 known, extant squamate species in 84% of 1018 genera [ 1].
Later, the final matrix created is used as input of the Pairwise Recommendation algorithm.
In order to estimate the final matrix, real OD data were used for calibration purposes.
To measure cost, we simply verified the number of generated test cases, i.e. the number of rows of the final matrix M, for each instance/sample.
Theseethod may be applied to the solution ofunctionsclass of thessentiallyof mathematical physimplifythean be reduconstructionary pseudofdifferenthel equations.
Hectorite-based clays have been prepared using different silica sols in order to ascertain the importance of sol characteristics on the final matrix.
The sequences of these specimens were concatenated in the final matrix.
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