Table 1_Machine learning prediction of obesity-associated gut microbiota: identifying Bifidobacterium pseudocatenulatum as a potential therapeutic target.xls

Table 1_Machine learning prediction of obesity-associated gut microbiota: identifying Bifidobacterium pseudocatenulatum as a potential therapeutic target.xls

Background<p>The rising prevalence of obesity and related metabolic disorders highlights the urgent need for innovative research approaches. Utilizing machine learning (ML) algorithms to predict obesity-associated gut microbiota and validating their efficacy with specific bacterial strains cou...

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Main Author: Hao Wu (65943) (author)
Other Authors: Yuan Li (67017) (author), Yuxuan Jiang (4721487) (author), Xinran Li (586814) (author), Shenglan Wang (9611464) (author), Changle Zhao (20679497) (author), Ximiao Yang (20679500) (author), Baocheng Chang (8832491) (author), Juhong Yang (8832488) (author), Jianjun Qiao (2029267) (author)
Published: 2025
Subjects:
Microbiology
overweight
machine learning
XGBoost-SHAP
intestinal microbiota
Bifidobacterium pseudocatenularis
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