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Some of the calculated data sets have been used for training the ANN and the other sets of data have been used for testing.
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For the MLE, the basic computational problem is finding the solution of the following equation: frac{partial log left({L}_Tleft vartheta right)right)}{partial theta }=0, (3)where θ is the calculated data set, L T is the likelihood function, and T is the quantity of modeled parameters controls.
The superiority of measured lipophilicity data over calculated data for a set of AZ proprietary acidic compounds is also presented.
Values reported are minimum values, calculated using data sets with two subpopulations.
Cell counts were made from at least 5 different animals, and means and standard deviations calculated on data sets.
Before the components were calculated, all data sets were filtered to include only variants with MAF>5%.
Values represent support as calculated using data sets containing slower/faster evolving gene copies.
Pairwise FST values calculated for data set 1 varied between 0.022 (FST-Midway-Tern) and 0.040 (FST-Midway-Torishima; Table S3).
Before phylogenetic independent contrasts (PIC) were calculated, each data set was checked for compliance with the assumptions of the Brownian motion (BM) model of evolution that underlies the PIC method.
In this study reported, the developed SI value is obtained by calculating the data set from the entire stance phase in order to provide more useful information about gait symmetry.
Bedload ratings were calculated for four data sets.
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