Abstract

The use of machine learning in high-dimensional biological applications, such as the human microbiome, has grown exponentially in recent years, but algorithm developers often lack the domain expertise required for interpretation and curation of the heterogeneous microbiome datasets. We present Microbiome Learning Repo (ML Repo, available at https://knights-lab.github.io/MLRepo/), a public, web-based repository of 33 curated classification and regression tasks from 15 published human microbiome datasets. We highlight the use of ML Repo in several use cases to demonstrate its wide application, and we expect it to be an important resource for algorithm developers.

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  • Reviewer Comments to Author: Thanks for responding to all my points and those of the other referees

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Summary

Introduction

Reviewer Comments to Author: Thanks for responding to all my points and those of the other referees. Title: Microbiome Learning Repo (ML Repo): A public repository of microbiome regression and classification tasks I'd be happy to see this published soon! Please indicate how interesting you found the manuscript: Choose an item.

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