A generalizable 29-mRNA neural-network classifier for acute bacterial and viral infections
Diagnosing acute infections based on transcriptional host response shows promise, but generalizability is wanting. Here, the authors use a co-normalization framework to train a classifier to diagnose acute infections and apply it to independent data on a targeted diagnostic platform.
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| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | article |
| Language: | EN |
| Published: |
Nature Portfolio
2020
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| Subjects: | |
| Online Access: | https://doaj.org/article/1514bf7fdf6d4f5db8c9b6afeda1ce2b |
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