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. 2023 Sep 1;14:1223742. doi: 10.3389/fphar.2023.1223742

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Copyright © 2023 Yan, Yao, Li, Xiao, Yang, Chen, Tang, Yang, Qu, Hou, Chen and Li.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Classification performance of a random forest model using different microbes. (A) The random forest model used 3, 5, 8, and 10 different genera or species. (B) The random forest model used 7 different genera.