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Microbiome Learning Repo (ML Repo): A public repository of microbiome regression and classification tasks

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 Micro...

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Detalles Bibliográficos
Autores principales: Vangay, Pajau, Hillmann, Benjamin M, Knights, Dan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6493971/
https://www.ncbi.nlm.nih.gov/pubmed/31042284
http://dx.doi.org/10.1093/gigascience/giz042
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author Vangay, Pajau
Hillmann, Benjamin M
Knights, Dan
author_facet Vangay, Pajau
Hillmann, Benjamin M
Knights, Dan
author_sort Vangay, Pajau
collection PubMed
description 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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spelling pubmed-64939712019-05-03 Microbiome Learning Repo (ML Repo): A public repository of microbiome regression and classification tasks Vangay, Pajau Hillmann, Benjamin M Knights, Dan Gigascience Technical Note 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. Oxford University Press 2019-04-26 /pmc/articles/PMC6493971/ /pubmed/31042284 http://dx.doi.org/10.1093/gigascience/giz042 Text en © The Author(s) 2019. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Technical Note
Vangay, Pajau
Hillmann, Benjamin M
Knights, Dan
Microbiome Learning Repo (ML Repo): A public repository of microbiome regression and classification tasks
title Microbiome Learning Repo (ML Repo): A public repository of microbiome regression and classification tasks
title_full Microbiome Learning Repo (ML Repo): A public repository of microbiome regression and classification tasks
title_fullStr Microbiome Learning Repo (ML Repo): A public repository of microbiome regression and classification tasks
title_full_unstemmed Microbiome Learning Repo (ML Repo): A public repository of microbiome regression and classification tasks
title_short Microbiome Learning Repo (ML Repo): A public repository of microbiome regression and classification tasks
title_sort microbiome learning repo (ml repo): a public repository of microbiome regression and classification tasks
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6493971/
https://www.ncbi.nlm.nih.gov/pubmed/31042284
http://dx.doi.org/10.1093/gigascience/giz042
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