This repository contains datasets of malaria antigen candidates identified from the research conducted in the following papers:
- R. T. Chou, A. Ouattara, M. Adams, A. A. Berry, S. Takala-Harrison, and M. P. Cummings. Positive-unlabeled learning identifies vaccine candidate antigens in the malaria parasite Plasmodium falciparum. Under review by npj Systems Biology and Applications.
- R. T. Chou, A. Ouattara, S. Takala-Harrison, and M. P. Cummings. Plasmodium vivax antigen candidate prediction improves with the addition of Plasmodium falciparum data.
Please refer to the respective papers for detailed methodologies, results, and discussions related to the data present in this repository.