Cargando…
Aliro: an automated machine learning tool leveraging large language models
MOTIVATION: Biomedical and healthcare domains generate vast amounts of complex data that can be challenging to analyze using machine learning tools, especially for researchers without computer science training. RESULTS: Aliro is an open-source software package designed to automate machine learning a...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576163/ https://www.ncbi.nlm.nih.gov/pubmed/37796839 http://dx.doi.org/10.1093/bioinformatics/btad606 |
_version_ | 1785121061952552960 |
---|---|
author | Choi, Hyunjun Moran, Jay Matsumoto, Nicholas Hernandez, Miguel E Moore, Jason H |
author_facet | Choi, Hyunjun Moran, Jay Matsumoto, Nicholas Hernandez, Miguel E Moore, Jason H |
author_sort | Choi, Hyunjun |
collection | PubMed |
description | MOTIVATION: Biomedical and healthcare domains generate vast amounts of complex data that can be challenging to analyze using machine learning tools, especially for researchers without computer science training. RESULTS: Aliro is an open-source software package designed to automate machine learning analysis through a clean web interface. By infusing the power of large language models, the user can interact with their data by seamlessly retrieving and executing code pulled from the large language model, accelerating automated discovery of new insights from data. Aliro includes a pre-trained machine learning recommendation system that can assist the user to automate the selection of machine learning algorithms and its hyperparameters and provides visualization of the evaluated model and data. AVAILABILITY AND IMPLEMENTATION: Aliro is deployed by running its custom Docker containers. Aliro is available as open-source from GitHub at: https://github.com/EpistasisLab/Aliro. |
format | Online Article Text |
id | pubmed-10576163 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-105761632023-10-15 Aliro: an automated machine learning tool leveraging large language models Choi, Hyunjun Moran, Jay Matsumoto, Nicholas Hernandez, Miguel E Moore, Jason H Bioinformatics Applications Note MOTIVATION: Biomedical and healthcare domains generate vast amounts of complex data that can be challenging to analyze using machine learning tools, especially for researchers without computer science training. RESULTS: Aliro is an open-source software package designed to automate machine learning analysis through a clean web interface. By infusing the power of large language models, the user can interact with their data by seamlessly retrieving and executing code pulled from the large language model, accelerating automated discovery of new insights from data. Aliro includes a pre-trained machine learning recommendation system that can assist the user to automate the selection of machine learning algorithms and its hyperparameters and provides visualization of the evaluated model and data. AVAILABILITY AND IMPLEMENTATION: Aliro is deployed by running its custom Docker containers. Aliro is available as open-source from GitHub at: https://github.com/EpistasisLab/Aliro. Oxford University Press 2023-10-05 /pmc/articles/PMC10576163/ /pubmed/37796839 http://dx.doi.org/10.1093/bioinformatics/btad606 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Choi, Hyunjun Moran, Jay Matsumoto, Nicholas Hernandez, Miguel E Moore, Jason H Aliro: an automated machine learning tool leveraging large language models |
title | Aliro: an automated machine learning tool leveraging large language models |
title_full | Aliro: an automated machine learning tool leveraging large language models |
title_fullStr | Aliro: an automated machine learning tool leveraging large language models |
title_full_unstemmed | Aliro: an automated machine learning tool leveraging large language models |
title_short | Aliro: an automated machine learning tool leveraging large language models |
title_sort | aliro: an automated machine learning tool leveraging large language models |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576163/ https://www.ncbi.nlm.nih.gov/pubmed/37796839 http://dx.doi.org/10.1093/bioinformatics/btad606 |
work_keys_str_mv | AT choihyunjun aliroanautomatedmachinelearningtoolleveraginglargelanguagemodels AT moranjay aliroanautomatedmachinelearningtoolleveraginglargelanguagemodels AT matsumotonicholas aliroanautomatedmachinelearningtoolleveraginglargelanguagemodels AT hernandezmiguele aliroanautomatedmachinelearningtoolleveraginglargelanguagemodels AT moorejasonh aliroanautomatedmachinelearningtoolleveraginglargelanguagemodels |