Benchmarking Datasets from Malaria Cytotoxic T-cell Epitopes Using Machine Learning Approach

BACKGROUND: Epitope prediction remains a major challenge in malaria due to the unique parasite biology, in addition to rapidly evolving parasite sequence variation in Plasmodium species. Although several models for epitope prediction exist, they are not useful in Plasmodium specific epitope developm...

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Detalles Bibliográficos
Autor principal: Adiga, Rama
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Avicenna Research Institute 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8112139/
https://www.ncbi.nlm.nih.gov/pubmed/34012524
http://dx.doi.org/10.18502/ajmb.v13i2.5527

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8112139/
https://www.ncbi.nlm.nih.gov/pubmed/34012524
http://dx.doi.org/10.18502/ajmb.v13i2.5527

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