Integrating clinical and cross-cohort metagenomic features: a stable and non-invasive colorectal cancer and adenoma diagnostic model

Integrating clinical and cross-cohort metagenomic features: a stable and non-invasive colorectal cancer and adenoma diagnostic model

Background: Dysbiosis is associated with colorectal cancer (CRC) and adenomas (CRA). However, the robustness of diagnostic models based on microbial signatures in multiple cohorts remains unsatisfactory.Materials and Methods: In this study, we used machine learning models to screen metagenomic signa...

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Bibliographic Details
Main Authors: Dan Zhou, Youli Chen, Zehao Wang, Siran Zhu, Lei Zhang, Jun Song, Tao Bai, Xiaohua Hou
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Molecular Biosciences
Subjects:
colorectal cancer
colorectal adenoma
machine learning
gut microbiome
metagenomics
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2023.1298679/full

Internet

https://www.frontiersin.org/articles/10.3389/fmolb.2023.1298679/full

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