Predicting the infecting dengue serotype from antibody titre data using machine learning.

Cracknell Daniels B, Buddhari D, Hunsawong T, Iamsirithaworn S, Farmer AR, Cummings DAT, Anderson KB, Dorigatti I

DOI: 10.1371/journal.pcbi.1012188
Published: 2024 Dec
Container: PLoS computational biology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pcbi.1012188,
  title = {Predicting the infecting dengue serotype from antibody titre data using machine learning.},
  author = {Cracknell Daniels B and Buddhari D and Hunsawong T and Iamsirithaworn S and Farmer AR and Cummings DAT and Anderson KB and Dorigatti I},
  year = {2024},
  journal = {PLoS computational biology},
  doi = {10.1371/journal.pcbi.1012188},
  url = {https://doi.org/10.1371/journal.pcbi.1012188}
}

RIS

TY  - JOUR
TI  - Predicting the infecting dengue serotype from antibody titre data using machine learning.
AU  - Cracknell Daniels B
AU  - Buddhari D
AU  - Hunsawong T
AU  - Iamsirithaworn S
AU  - Farmer AR
AU  - Cummings DAT
AU  - Anderson KB
AU  - Dorigatti I
PY  - 2024
JO  - PLoS computational biology
DO  - 10.1371/journal.pcbi.1012188
UR  - https://doi.org/10.1371/journal.pcbi.1012188
ER  -

APA

B, C. D., D, B., T, H., S, I., AR, F., DAT, C., KB, A., & I, D. (2024). Predicting the infecting dengue serotype from antibody titre data using machine learning.. PLoS computational biology. https://doi.org/10.1371/journal.pcbi.1012188

Source records

pubmed · retrieved 2026-09-25T15:30:54.638Z