Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action
- D’Elia, D.
- Truu, J.
- Lahti, L.
- Berland, M.
- Papoutsoglou, G.
- Ceci, M.
- Zomer, A.
- Lopes, M.B.
- Ibrahimi, E.
- Gruca, A.
- Nechyporenko, A.
- Frohme, M.
- Klammsteiner, T.
- Pau, E.C.-D.S.
- Marcos-Zambrano, L.J.
- Hron, K.
- Pio, G.
- Simeon, A.
- Suharoschi, R.
- Moreno-Indias, I.
- Temko, A.
- Nedyalkova, M.
- Apostol, E.-S.
- Truică, C.-O.
- Shigdel, R.
- Telalović, J.H.
- Bongcam-Rudloff, E.
- Przymus, P.
- Jordamović, N.B.
- Falquet, L.
- Tarazona, S.
- Sampri, A.
- Isola, G.
- Pérez-Serrano, D.
- Trajkovik, V.
- Klucar, L.
- Loncar-Turukalo, T.
- Havulinna, A.S.
- Jansen, C.
- Bertelsen, R.J.
- Claesson, M.J.
- Show all authors +
Journal:
Frontiers in Microbiology
ISSN: 1664-302X
Year of publication: 2023
Volume: 14
Type: Article