A diagnostic classifier for gene expression-based identification of early Lyme disease

per: Venice Servellita, Jerome Bouquet, Alison Rebman, Ting Yang, Erik Samayoa, Steve Miller, Mars Stone, Marion Lanteri, Michael Busch, Patrick Tang, Muhammad Morshed, Mark J. Soloski, John Aucott, Charles Y. Chiu

Format: Article
Publicat: Nature Portfolio 2022-07-01

Descripció

Servellita et al. develop a machine learning-based classifier to diagnose Lyme disease using gene expression data. The classifier achieves high sensitivity for early infections, even prior to positivity on antibody testing.