Machine learning-based gene expression biomarkers to distinguish Zika and Dengue virus infections: implications for diagnosis
Author:
Funder
DST-SERB (TARE) grant, Govt. of India
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13337-024-00885-8.pdf
Reference73 articles.
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5. Behura SK, Gomez-Machorro C, Harker BW, de Bruyn B, Lovin DD, Hemme RR, et al. Global cross-talk of genes of the mosquito Aedes aegypti in response to Dengue virus infection. PLoS Negl Trop Dis. 2011;5(11):e1385. https://doi.org/10.1371/journal.pntd.0001385.
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