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eNauka >  Rezultati >  Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment
Naziv: Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment
Autori : Marcos-Zambrano, Laura Judith; ...; Loncar-Turukalo, Tatjana G  ; ...; (broj, koautora 29)
Godina: 2021
Publikacija: FRONTIERS IN MICROBIOLOGY
ISSN: 1664-302X Frontiers in Microbiology Pretraži identifikator
Izdavač: Frontiers Media SA
Tip rezultata: Naučni članak
Kolacija: vol. 12
DOI: 10.3389/fmicb.2021.634511
WoS-ID: 000629296800001
Scopus-ID: 2-s2.0-85102368878
PMID: 33737920
PMCID: PMC7962872
URI: https://enauka.gov.rs/handle/123456789/826967
URL: https://pubmed.ncbi.nlm.nih.gov/33737920/
Projekat: COST Action "Statistical and machine learning techniques in human microbiome studies"European Cooperation in Science and Technology (COST) [CA18131]
Estonian Research CouncilEstonian Research Council [PRG548]
Spanish State Research Agency Juan de la Cie
Izvor metapodataka: (Preuzeto iz Nasi u WoS)
M-kategorija: 
21M21 - Vodeći međunarodni časopis kategorije M21

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