Machine learning prediction of obesity-associated gut microbiota: identifying Bifidobacterium pseudocatenulatum as a potential therapeutic target

Machine learning prediction of obesity-associated gut microbiota: identifying Bifidobacterium pseudocatenulatum as a potential therapeutic target

BackgroundThe 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 could signif...

Full description

Saved in:
Bibliographic Details
Main Authors: Hao Wu, Yuan Li, Yuxuan Jiang, Xinran Li, Shenglan Wang, Changle Zhao, Ximiao Yang, Baocheng Chang, Juhong Yang, Jianjun Qiao
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Microbiology
Subjects:
overweight
machine learning
XGBoost-SHAP
intestinal microbiota
Bifidobacterium pseudocatenularis
Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2024.1488656/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items