Novel machine learning-based approach to identify viral biomarkers of human respiratory emissions from oral and nasal metagenomes

To make environmental sampling more effective for virus detection, MCIDT Affiliate Krista Wigginton and team applied machine learning to respiratory metagenomes and identified stable viral biomarkers.

Key Terms: Human Microbiome Project; environmental monitoring; human respiratory emissions; human respiratory viruses; machine learning; respiratory biomarkers