Machine learning to uncover differentiable signatures of bacterial and viral infections
Main Authors: | A. Myall, S. Perkins, J. David, P. Spencer, A. Jones, P. Antczak |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2020-12-01
|
Series: | International Journal of Infectious Diseases |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1201971220312224 |
Similar Items
-
Host gene signature shows promise to distinguish bacterial and viral infections
by: Channon-Wells, S, et al.
Published: (2021) -
Differentiating between bacterial and viral infections by estimated CRP velocity.
by: Michal Largman-Chalamish, et al.
Published: (2022-01-01) -
Differentiating between bacterial and viral infections by estimated CRP velocity
by: Michal Largman-Chalamish, et al.
Published: (2022-01-01) -
Impact of infection on proteome-wide glycosylation revealed by distinct signatures for bacterial and viral pathogens
by: Esther Willems, et al.
Published: (2023-08-01) -
Impact of infection on proteome-wide glycosylation revealed by distinct signatures for bacterial and viral pathogens
by: Willems, E, et al.
Published: (2023)