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...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Dan Zhou, Youli Chen, Zehao Wang, Siran Zhu, Lei Zhang, Jun Song, Tao Bai, Xiaohua Hou
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Frontiers Media S.A. 2024-01-01
Schriftenreihe:	Frontiers in Molecular Biosciences
Schlagworte:	colorectal cancer colorectal adenoma machine learning gut microbiome metagenomics
Online-Zugang:	https://www.frontiersin.org/articles/10.3389/fmolb.2023.1298679/full
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