• Urinary peptidomics and bioinformatics for the detection of diabetic kidney disease 

      Brondani, Letícia de Almeida; Soares, Ariana Aguiar; Recamonde-Mendoza, Mariana; Dall'Agnol, Angélica; Camargo, Joiza Lins; Monteiro, Karina Mariante; Silveiro, Sandra Pinho (2020) [Artigo de periódico]
      The aim of this study was to establish a peptidomic profle based on LC-MS/MS and random forest (RF) algorithm to distinguish the urinary peptidomic scenario of type 2 diabetes mellitus (T2DM) patients with diferent stages ...