2.7. Data Analysis
Each metabolite measurement was conducted in duplicate. The average values of concentration for each of the samples were calculated in Microsoft Excel version 16.0. For the raw statistics, classical statistical methods using median, mean, standard deviation, and confidence intervals were used. Average values were further processed using GraphPad software (San Diego, CA, USA) version 5.00 to represent data in graphs and tables. Pharmacokinetic parameters (maximum plasma concentration CIn order to identify potentially hidden data correlations, artificial intelligence algorithms were applied using MATLAB 2019 (Natick, MA, USA) software, including the machine learning and deep learning toolbox version 11.5. This includes the classification of the data using machine learning techniques (such as k-nearest neighbors, decision tree, and support vector machine), deep learning using deep neural networks as well as the analysis of the data using correlation matrix calculations.