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Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action
Title Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action Author D’Elia Domenica Kľučár Ľuboš SAVMOBIO - Ústav molekulárnej biológie SAV ORCID Co-authors Truu Jaak Lahti Leo Berland Magali Papoutsoglou Georgios Source document Frontiers in Microbiology. Vol. 14 (2023), art. no. 1257002 Language eng - English Country CH - Switzerland URL URL link Document kind rozpis článkov z periodík (rbx) Category ADMA - Scientific papers in foreign impacted journals registered in Web of Sciences or Scopus Category of document (from 2022) V3 - Vedecký výstup publikačnej činnosti z časopisu Type of document článok Year 2023 Registered in WOS Registered in SCOPUS DOI 10.3389/fmicb.2023.1257002 article
rok CC IF IF Q (best) JCR Av Jour IF Perc SJR SJR Q (best) CiteScore N rok vydania rok metriky IF IF Q (best) SJR SJR Q (best) 2023 2022 5.2 Q2 1.19 Q1
Number of the records: 1