Comprehensive assessment of machine learning methods for diagnosing gastrointestinal diseases through whole metagenome sequencing data

The gut microbiome, linked significantly to host diseases, offers potential for disease diagnosis through machine learning (ML) pipelines. These pipelines, crucial in modeling diseases using high-dimensional microbiome data, involve selecting profile modalities, data preprocessing techniques, and cl...

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Bibliographic Details

Published in:	Gut Microbes
Main Authors:	Sungho Lee, Insuk Lee
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2024-12-01
Subjects:	Human gut microbiome disease diagnosis whole metagenome shotgun sequencing machine learning, Crohn’s disease colorectal cancer
Online Access:	https://www.tandfonline.com/doi/10.1080/19490976.2024.2375679