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©The Author(s) 2025.
World J Gastroenterol. Apr 28, 2025; 31(16): 105985
Published online Apr 28, 2025. doi: 10.3748/wjg.v31.i16.105985
Published online Apr 28, 2025. doi: 10.3748/wjg.v31.i16.105985
Figure 4 Linear discriminant analysis effect size analysis identified differential microbiota in hepatic fibrosis patients.
A and B: Differential microbiota in hepatic fibrosis (HF) and non-HF groups; C and D: Differential microbiota in mild HF and significant HF groups; E and F: Differential microbiota in different fibrosis stages (F1, F2, F3, and F4). All data were analyzed by linear discriminant analysis effect size analysis (linear discriminant analysis > 2, P < 0.05). LDA: Linear discriminant analysis; HF: Hepatic fibrosis; mHF: Mild hepatic fibrosis; sHF: Significant hepatic fibrosis.
- Citation: Zhu Y, Geng SY, Chen Y, Ru QJ, Zheng Y, Jiang N, Zhu FY, Zhang YS. Machine learning algorithms reveal gut microbiota signatures associated with chronic hepatitis B-related hepatic fibrosis. World J Gastroenterol 2025; 31(16): 105985
- URL: https://www.wjgnet.com/1007-9327/full/v31/i16/105985.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i16.105985