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. 2021 Oct 13;12:757372. doi: 10.3389/fmicb.2021.757372

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Copyright © 2021 Zhong, Cao, Deng, Ma, Liu and Wang.

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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Random forest (RF) model and linear discriminant analysis effect size revealed differential genera between mice with different treatments. (A) RF model constructed for classification mice transplanted domestic pig (D) and wild boar (W) fecal bacteria. (B) Bacteria genera with top 10 mean decrease accuracy selected by RF model for classification of donor effect. (C) RF model constructed for classification mice treated with low-fiber (L) and high-fiber (H) diets. (D) Bacteria genera with top 10 mean decrease accuracy selected by RF model for classification of diet effect. (E) Bar plot of linear discriminant analysis score of bacteria genera selected by linear discriminant analysis effect size (linear discriminant analysis score > 2).