Cargando…
Machine learning approach to support taxonomic species discrimination based on helminth collections data
BACKGROUND: There are more than 300 species of capillariids that parasitize various vertebrate groups worldwide. Species identification is hindered because of the few taxonomically informative structures available, making the task laborious and genus definition controversial. Thus, its taxonomy is o...
Autores principales: | Borba, Victor Hugo, Martin, Coralie, Machado-Silva, José Roberto, Xavier, Samanta C. C., de Mello, Flávio L., Iñiguez, Alena Mayo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8088700/ https://www.ncbi.nlm.nih.gov/pubmed/33933139 http://dx.doi.org/10.1186/s13071-021-04721-6 |
Ejemplares similares
-
Worldwide paleodistribution of capillariid parasites: Paleoparasitology, current status of phylogeny and taxonomic perspectives
por: Borba, Victor Hugo, et al.
Publicado: (2019) -
Collecting and managing taxonomic data with NCBI-taxonomist
por: Buchmann, Jan P, et al.
Publicado: (2020) -
Taxonomic Distinctness and Richness of Helminth Parasite Assemblages of Freshwater Fishes in Mexican Hydrological Basins
por: Quiroz-Martínez, Benjamín, et al.
Publicado: (2013) -
Application of Taxonomic Modeling to Microbiota Data Mining for Detection of Helminth Infection in Global Populations
por: Torbati, Mahbaneh Eshaghzadeh, et al.
Publicado: (2016) -
Doubly Optimized Calibrated Support Vector Machine (DOC-SVM): An Algorithm for Joint Optimization of Discrimination and Calibration
por: Jiang, Xiaoqian, et al.
Publicado: (2012)