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Researchers requiring separate experimental assessment of each peptide may alternatively utilize the individual preparations.

Samples were subjected to a reverse phase Symmetry C18 HPLC column (4.6 250 mm, Waters) at the flow rate of 1.0 ml/min

The worst performing method was Decision Trees with an accuracy of 0.675, precision of 0.571, recall of 0.599, F1 score of 0.570 and ROC-AUC of 0.654 Conclusion: Using machine learning methods, we were able to predict the presence of fatty liver disease with high accuracy, precision, and recall

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