Zhang, L.; Cao, H.; Medlin, K.; Pearson, J.; Aristotelous, A.C.; Chen, A.; Wessler, T.; Forest, M.G.
Computational Modeling Insights into Extreme Heterogeneity in COVID-19 Nasal Swab Data. Viruses 2024, 16, 69.
https://doi.org/10.3390/v16010069
AMA Style
Zhang L, Cao H, Medlin K, Pearson J, Aristotelous AC, Chen A, Wessler T, Forest MG.
Computational Modeling Insights into Extreme Heterogeneity in COVID-19 Nasal Swab Data. Viruses. 2024; 16(1):69.
https://doi.org/10.3390/v16010069
Chicago/Turabian Style
Zhang, Leyi, Han Cao, Karen Medlin, Jason Pearson, Andreas C. Aristotelous, Alexander Chen, Timothy Wessler, and M. Gregory Forest.
2024. "Computational Modeling Insights into Extreme Heterogeneity in COVID-19 Nasal Swab Data" Viruses 16, no. 1: 69.
https://doi.org/10.3390/v16010069
APA Style
Zhang, L., Cao, H., Medlin, K., Pearson, J., Aristotelous, A. C., Chen, A., Wessler, T., & Forest, M. G.
(2024). Computational Modeling Insights into Extreme Heterogeneity in COVID-19 Nasal Swab Data. Viruses, 16(1), 69.
https://doi.org/10.3390/v16010069
