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A Method to Define the Effects of Environmental Enrichment on Colon Microbiome Biodiversity in a Mouse Colon Tumor Model

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MiTree: A Unified Web Cloud Analytic Platform for User-Friendly and Interpretable Microbiome Data Mining Using

Jihun Kim¹, Hyunwook Koh¹

¹Department of Applied Mathematics and Statistics, The State University of New York, Korea (SUNY Korea), Incheon 21985, Republic of Korea.

|November 25, 2023

Summary

This summary is machine-generated.

MiTree offers an interpretable, user-friendly platform for analyzing human microbiome data using tree-based machine learning. This tool aids in disease prediction, diagnosis, and treatment development, making complex data accessible to researchers and clinicians.

Keywords:

classification and regression human microbiome machine learning microbiome data analysis tree-based methods web cloud computing

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Area of Science:

Microbiome Research
Computational Biology
Bioinformatics

Background:

Next-generation sequencing has advanced human microbiome studies.
Machine learning offers potential for analyzing complex microbiome data.
Current machine learning methods often lack interpretability and require programming skills.

Purpose of the Study:

To introduce MiTree, a unified web cloud analytic platform for user-friendly and interpretable microbiome data mining.
To provide an accessible tool for researchers and clinicians to analyze microbiome data.
To facilitate microbiome-based disease prediction, diagnostics, treatment, and prevention.

Main Methods:

MiTree utilizes tree-based learning methods: decision tree, random forest, and gradient boosting.
The platform supports both classification and regression analyses.
Analysis can be performed with or without covariate adjustment.

Main Results:

MiTree provides an interpretable approach to microbiome data mining.
The platform is designed for user-friendliness, requiring no programming expertise.
MiTree is suitable for microbiome-based disease prediction modeling.

Conclusions:

MiTree serves as an accessible and interpretable data mining tool for microbiome research.
The platform can offer new insights into microbiome-based diagnostics, treatment, and prevention.
MiTree is an open-source software available via a web server.