Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action – FRONTIERS IN MICROBIOLOGY

D’Elia, D; Truu, J; Lahti, L; Berland, M; Papoutsoglou, G; Ceci, M; Zomer, A; Lopes, MB; Ibrahimi, E; Gruca, A; Nechyporenko, A; Frohme, M; Klammsteiner, T; Pau, ECD; Marcos-Zambrano, LJ; Hron, K; Pio, G; Simeon, A; Suharoschi, R; Moreno-Indias, I; Temko, A; Nedyalkova, M; Apostol, ES; Truica, CO; Shigdel, R; Telalovic, JH; Bongcam-Rudloff, E; Przymus, P; Jordamovic, NB; Falquet, L; Tarazona, S; Sampri, A; Isola, G; Perez-Serrano, D; Trajkovik, V; Klucar, L; Loncar-Turukalo, T; Havulinna, AS; Jansen, C; Bertelsen, RJ; Claesson, MJ – 2023 – 10.3389/fmicb.2023.1257002