| Title: | Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action |
Authors: | D'Elia, Domenica; Truu, Jaak; Lahti, Leo; Berland, Magali; Papoutsoglou, Georgios; Ceci, Michelangelo; Zomer, Aldert; Lopes, Marta; Ibrahimi, Eliana; Gruca, Aleksandra;
Nechyporenko, Alina; Frohme, Marcus; Klammsteiner, Thomas; Carrillo-de Santa Pau, Enrique; Marcos-Zambrano, Laura Judith; Hron, Karel; Pio, Gianvito; Simeon, Andrea   ; Suharoschi, Ramona; Moreno, Indias Isabel; Temko, Andriy; Nedyalkova, Miroslava; Apostol, Elena-Simona; Truică, Ciprian-Octavian; Shigdel, Rajesh; Hasić Telalović, Jasminka; Bongcam-Rudloff, Erik; Przymus, Piotr; Babić Jordamović, Naida; Falquet, Laurent; Tarazona, Sonia; Sampri, Alexia; Isola, Gaetano; Pérez-Serrano, David; Trajkovik, Vladimir T.; Klucar, Lubos; Lončar-Turukalo, Tatjana ; Havulinna, Aki S.; Jansen, Christian; Bertelsen, Randi J.; Claesson, Marcus Joakim;
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Issue Date: | 2023 |
Publication: | Frontiers in Microbiology |
ISSN: | 1664-302X Frontiers in Microbiology Search Idenfier |
Type: | Article |
Collation: | vol. 14 |
DOI: | 10.3389/fmicb.2023.1257002 |
WoS-ID: | 001080536000001 |
Scopus-ID: | 2-s2.0-85173952003 |
PMID: | 37808321 |
PMCID: | PMC10558209 |
URI: | https://enauka.gov.rs/handle/123456789/880900 |
Metadata source: | (Preuzeto iz KNR-a) Lončar-Turukalo, Tatjana |
M-category: | |
