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Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment
| Title: | Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment | Authors  : | Marcos-Zambrano, Laura Judith; ...; Loncar-Turukalo, Tatjana G   ; ...; (broj, koautora 29) |
Issue Date: | 2021 | Publication: | FRONTIERS IN MICROBIOLOGY | ISSN: | 1664-302X Frontiers in Microbiology Search Idenfier |
Publisher: | Frontiers Media SA | Type: | Article | Collation: | 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/ | Project: | 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 |
Metadata source: | (Preuzeto iz Nasi u WoS) | M-category: | 21M21 |
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