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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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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. |
format | Online Article Text |
id | pubmed-6493971 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT vangaypajau microbiomelearningrepomlrepoapublicrepositoryofmicrobiomeregressionandclassificationtasks AT hillmannbenjaminm microbiomelearningrepomlrepoapublicrepositoryofmicrobiomeregressionandclassificationtasks AT knightsdan microbiomelearningrepomlrepoapublicrepositoryofmicrobiomeregressionandclassificationtasks |