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. 2020 Dec 8;12(1):1842991. doi: 10.1080/19490976.2020.1842991

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© 2020 The Author(s). Published with license by Taylor & Francis Group, LLC.

This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 5. — Biomarker analysis and a classification assessment for the monitoring of potential of athletes. (a) Taxonomical biomarkers for identification of AE, YE and YN cohorts. (b) Functional biomarkers for identification of AE, YE and YN cohorts. Random forest models are constructed using the (c) taxonomical biomarkers, (d) functional biomarkers, and (e) the combination of taxonomical biomarkers and functional biomarkers for differentiating the AE cohort (faint red) and YE cohort (green) from YN cohort