Advancing microbiome research with machine learning: Key findings from the ML4Microbiome COST action
D. D’Elia, J. Truu, L. Lahti, M. Berland, G. Papoutsoglou, M. Ceci, A. Zomer, M.B. Lopes, E. Ibrahimi, A. Gruca, A. Nechyporenko, M. Frohme, T. Klammsteiner, E.C.D.S. Pau, L.J. Marcos-Zambrano, K. Hron, G. Pio, A. Simeon, R. Suharoschi, I. Moreno-Indias, A. Temko, M. Nedyalkova, E.S. Apostol, C.O. Truic, R. Shigdel, J.H. Telalovi, E. Bongcam-Rudloff, P. Przymus, N.B. Jordamovi, L. Falquet, S. Tarazona, A. Sampri, G. Isola, D. Pérez-Serrano, V. Trajkovik, L. Klucar, T. Loncar-Turukalo, A.S. Havulinna, C. Jansen, R.J. Bertelsen, M.J. Claesson, Frontiers in Microbiology 14 (2023).
LibreCat: https://research-explorer.ista.ac.at/record/14449
DOI: 10.3389/fmicb.2023.1257002
WoS: 001080536000001
PMID: 37808321