<p>Facilitating the study of peptides sequences using machine learning strategies and bioinformatics tools.</p>

Gabriel Cabas Mora; Álvaro Olivera-Nappa; David Medina Ortiz

doi:10.7490/f1000research.1119568.1

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Cabas Mora G, Olivera-Nappa Á and Medina Ortiz D. Facilitating the study of peptides sequences using machine learning strategies and bioinformatics tools. [version 1; not peer reviewed]. F1000Research 2023, 12:967 (poster) (https://doi.org/10.7490/f1000research.1119568.1)

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Facilitating the study of peptides sequences using machine learning strategies and bioinformatics tools.

Gabriel Cabas Mora, Álvaro Olivera-Nappa, David Medina Ortiz¹

Published 10 Aug 2023 (https://doi.org/10.7490/f1000research.1119568.1)

Author Affiliations

¹ Universidad de Magallanes, Punta Arenas, Magallanes y la Antártica Chilena Region, Chile

Copyright © 2023 Cabas Mora G et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 10 Aug 2023

Facilitating the study of peptides sequences using machine learning strategies and bioinformatics tools.
[version 1; not peer reviewed]

Gabriel Cabas Mora, Álvaro Olivera-Nappa, David Medina Ortiz¹

Author Affiliations

¹ Universidad de Magallanes, Punta Arenas, Magallanes y la Antártica Chilena Region, Chile

Presented at

European Conference on Computational Biology (ECCB), 2023

Competing Interests

No competing interests were disclosed

Keywords

peptides, machine learning, enrichment analysis, functional classification system, therapeutic peptides, bioinformatic tools

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