• Machine-learning analysis of cross-study samples according to the gut microbiome in 12 infant cohorts 

      Vänni, Petri; Tejesvi, Mysore V; Paalanne, Niko; Aagaard, Kjersti; Ackermann, Gail; Camargo Jr., Carlos A; Eggesbø, Merete Åse; Hasegawa, Kohei; Hoen, Anne G.; Karagas, Margaret R.; Kolho, Kaija-Leena; Laursen, Martin F.; Ludvigsson, Johnny; Madan, Juliette; Ownby, Dennis; Stanton, Catherine; Stokholm, Jakob; Tapiainen, Terhi (Peer reviewed; Journal article, 2023)
      Combining and comparing microbiome data from distinct infant cohorts has been challenging because such data are inherently multidimensional and complex. Here, we used an ensemble of machine-learning (ML) models and studied ...