Combined unsupervised and semi-automated supervised analysis of flow cytometry data reveals cellular fingerprint associated with newly diagnosed pediatric type 1 diabetes

HIGHLIGHTS

  • who: Camillo Bechi Genzano from the Haukeland University Hospital, Norway University of Verona, Italy have published the Article: Combined unsupervised and semi-automated supervised analysis of flow cytometry data reveals cellular fingerprint associated with newly diagnosed pediatric type 1 diabetes, in the Journal: (JOURNAL)
  • what: The authors show that the frequency of nau00efve (N) CD4 T_cells at disease onset is associated with partial remission, thus playing a potential role in a later stage of the autoimmune_response. The authors unbiasedly identified the circulating immune fingerprint of pediatric patients with newly diagnosed type 1 diabetes compared to . . .

     

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