Unsupervised learning analysis on the proteomes of Zika virus
These UL algorithms could be practical evolutionary analytical techniques to track the dispersal of viral pathogens.
Authors
- Xianwu Guo (ORCID: https://orcid.org/0000-0003-2013-5853)
- Jesús Adrián López (ORCID: https://orcid.org/0000-0001-8012-7041)
- Amanda Alejandra Oliva-Hernández (ORCID: https://orcid.org/0000-0002-8904-2164)
- Gildardo Rivera (ORCID: https://orcid.org/0000-0001-9842-4167)
- Virgilio Bocanegra‐García (ORCID: https://orcid.org/0000-0002-0728-2018)
- Edgar Eduardo Lara-Ramirez (ORCID: https://orcid.org/0000-0001-7112-3233)
Institutions
- Universidad Autónoma de Zacatecas "Francisco García Salinas" (MX)
- Instituto Politécnico Nacional (MX)
Publication Details
- Journal
- PeerJ Computer Science
- Published
- 2024-11-11
- DOI
- https://doi.org/10.7717/peerj-cs.2443
- Citations
- 1
- Primary Topic
- Mosquito-borne diseases and control
- Type
- article
- Field-Weighted Citation Impact
- 0.54