Combined unsupervised and semi-automated supervised analysis of flow cytometry data reveals cellular fingerprint associated with newly diagnosed pediatric type 1 diabetes.
Bechi Genzano C, Bezzecchi E, Carnovale D, Mandelli A, Morotti E, Castorani V, Favalli V, Stabilini A, Insalaco V, Ragogna F, Codazzi V, Scotti GM, Del Rosso S, Mazzi BA, De Pellegrin M, Giustina A, Piemonti L, Bosi E, Battaglia M, Morelli MJ, Bonfanti R, Petrelli A.
Bechi Genzano C, et al. Among authors: del rosso s.
Front Immunol. 2022 Oct 27;13:1026416. doi: 10.3389/fimmu.2022.1026416. eCollection 2022.
Front Immunol. 2022.
PMID: 36389771
Free PMC article.