PlasmoFAB: a benchmark to foster machine learning for Plasmodium falciparum protein antigen candidate prediction

MOTIVATION: Machine learning methods can be used to support scientific discovery in healthcare-related research fields. However, these methods can only be reliably used if they can be trained on high-quality and curated datasets. Currently, no such dataset for the exploration of Plasmodium falciparu...

Descripción completa

Detalles Bibliográficos
Autores principales: Ditz, Jonas C, Wistuba-Hamprecht, Jacqueline, Maier, Timo, Fendel, Rolf, Pfeifer, Nico, Reuter, Bernhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Biomedical Informatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311333/
https://www.ncbi.nlm.nih.gov/pubmed/37387133
http://dx.doi.org/10.1093/bioinformatics/btad206

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311333/
https://www.ncbi.nlm.nih.gov/pubmed/37387133
http://dx.doi.org/10.1093/bioinformatics/btad206

Ejemplares similares