Identification of Host Gene Transcripts by Machine Learning and Their Application to Predict Outcome in Ebola Virus Disease
- DOI
- 10.1093/infdis/jiag308
- Published
- 2026-06-17
- Container
- The Journal of Infectious Diseases
- Publisher
- Oxford University Press (OUP)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1093/infdis/jiag308,
title = {Identification of Host Gene Transcripts by Machine Learning and Their Application to Predict Outcome in Ebola Virus Disease},
author = {Jocelyn G Pérez and Natasha Y Rickett and Stephan Günther and Romy Kerber and Lisa F P Ng and Tom Fletcher and Tracy MacGill and Todd Myers and Robert Orr and Miles W Carroll and Neil Blake and Julian A Hiscox},
year = {2026},
journal = {The Journal of Infectious Diseases},
doi = {10.1093/infdis/jiag308},
url = {https://doi.org/10.1093/infdis/jiag308}
}RIS
TY - JOUR TI - Identification of Host Gene Transcripts by Machine Learning and Their Application to Predict Outcome in Ebola Virus Disease AU - Jocelyn G Pérez AU - Natasha Y Rickett AU - Stephan Günther AU - Romy Kerber AU - Lisa F P Ng AU - Tom Fletcher AU - Tracy MacGill AU - Todd Myers AU - Robert Orr AU - Miles W Carroll AU - Neil Blake AU - Julian A Hiscox PY - 2026 JO - The Journal of Infectious Diseases DO - 10.1093/infdis/jiag308 UR - https://doi.org/10.1093/infdis/jiag308 ER -
APA
Pérez, J. G., Rickett, N. Y., Günther, S., Kerber, R., Ng, L. F. P., Fletcher, T., MacGill, T., Myers, T., Orr, R., Carroll, M. W., Blake, N., & Hiscox, J. A. (2026). Identification of Host Gene Transcripts by Machine Learning and Their Application to Predict Outcome in Ebola Virus Disease. The Journal of Infectious Diseases. https://doi.org/10.1093/infdis/jiag308
Source records
- crossref · retrieved 2026-09-27T07:30:31.699Z