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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 |
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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.