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Random forest classification model identifying the top 20 microbial biomarkers at the genus level that distinguish IBS patients from healthy controls. The model quantifies the discriminatory power of specific bacterial taxa.
Figure 12
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Alternation of the gut microbiota in irritable bowel syndrome: an integrated analysis based on multicenter amplicon sequencing data.Cite This Figure
![Figure 12: Random forest classification model identifying the top 20 microbial biomarkers at the genus level that distinguish IBS patients from healthy controls. The model quantifies the discriminatory power of specific bacterial taxa.]() > Source: Han Chen et al. "Alternation of the gut microbiota in irritable bowel syndrome: an integrated ana." *Journal of translational medicine*, 2023. PMID: [36774467](https://pubmed.ncbi.nlm.nih.gov/36774467/)
<figure> <img src="" alt="Random forest classification model identifying the top 20 microbial biomarkers at the genus level that distinguish IBS patients from healthy controls. The model quantifies the discriminatory power of specific bacterial taxa." /> <figcaption>Figure 12. Random forest classification model identifying the top 20 microbial biomarkers at the genus level that distinguish IBS patients from healthy controls. The model quantifies the discriminatory power of specific bacterial taxa.<br> Source: Han Chen et al. "Alternation of the gut microbiota in irritable bowel syndrome: an integrated ana." <em>Journal of translational medicine</em>, 2023. PMID: <a href="https://pubmed.ncbi.nlm.nih.gov/36774467/">36774467</a></figcaption> </figure>