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. 2017 Jul 26;1(7):704–718. doi: 10.1002/hep4.1075

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© 2017 The Authors. Hepatology Communications published by Wiley Periodicals, Inc., on behalf of the American Association for the Study of Liver Diseases.

This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

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Identification of biomarkers using RFA. RFA is a statistical tool that uses supervised classification techniques based on an ensemble of decision trees that can aid in the identification of biomarkers differentiating classification groups. (A) RFA of the control group at ZT4, ZT10, ZT16, and ZT22. (B) RFA of the TA group at ZT4, ZT10, ZT16, and ZT22. (C) RFA comparing the control group and the TA group. (D) RFA of ZT4, ZT10, ZT16, and ZT22 in the control group and the TA group. Abbreviations: ADMA, asymmetric dimethylarginine; Ctrl, control; GPC, glycerophosphocholine; GPE, glycerophosphoethanolamine; GPG, glycerophosphoglycerol; GPS, glycerophosphatidylserine; SDMA, symmetric dimethylarginine.