Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action

  1. D’Elia, D.
  2. Truu, J.
  3. Lahti, L.
  4. Berland, M.
  5. Papoutsoglou, G.
  6. Ceci, M.
  7. Zomer, A.
  8. Lopes, M.B.
  9. Ibrahimi, E.
  10. Gruca, A.
  11. Nechyporenko, A.
  12. Frohme, M.
  13. Klammsteiner, T.
  14. Pau, E.C.-D.S.
  15. Marcos-Zambrano, L.J.
  16. Hron, K.
  17. Pio, G.
  18. Simeon, A.
  19. Suharoschi, R.
  20. Moreno-Indias, I.
  21. Temko, A.
  22. Nedyalkova, M.
  23. Apostol, E.-S.
  24. Truică, C.-O.
  25. Shigdel, R.
  26. Telalović, J.H.
  27. Bongcam-Rudloff, E.
  28. Przymus, P.
  29. Jordamović, N.B.
  30. Falquet, L.
  31. Tarazona, S.
  32. Sampri, A.
  33. Isola, G.
  34. Pérez-Serrano, D.
  35. Trajkovik, V.
  36. Klucar, L.
  37. Loncar-Turukalo, T.
  38. Havulinna, A.S.
  39. Jansen, C.
  40. Bertelsen, R.J.
  41. Claesson, M.J.
  42. Show all authors +
Journal:
Frontiers in Microbiology

ISSN: 1664-302X

Year of publication: 2023

Volume: 14

Type: Article

DOI: 10.3389/FMICB.2023.1257002 GOOGLE SCHOLAR lock_openOpen access editor

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