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Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment.
Marcos-Zambrano, Laura Judith; Karaduzovic-Hadziabdic, Kanita; Loncar Turukalo, Tatjana; Przymus, Piotr; Trajkovik, Vladimir; Aasmets, Oliver; Berland, Magali; Gruca, Aleksandra; Hasic, Jasminka; Hron, Karel; Klammsteiner, Thomas; Kolev, Mikhail; Lahti, Leo; Lopes, Marta B; Moreno, Victor; Naskinova, Irina; Org, Elin; Paciência, Inês; Papoutsoglou, Georgios; Shigdel, Rajesh; Stres, Blaz; Vilne, Baiba; Yousef, Malik; Zdravevski, Eftim; Tsamardinos, Ioannis; Carrillo de Santa Pau, Enrique; Claesson, Marcus J; Moreno-Indias, Isabel; Truu, Jaak.
Afiliación
  • Marcos-Zambrano LJ; Computational Biology Group, Precision Nutrition and Cancer Research Program, IMDEA Food Institute, Madrid, Spain.
  • Karaduzovic-Hadziabdic K; Faculty of Engineering and Natural Sciences, International University of Sarajevo, Sarajevo, Bosnia and Herzegovina.
  • Loncar Turukalo T; Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia.
  • Przymus P; Faculty of Mathematics and Computer Science, Nicolaus Copernicus University, Torun, Poland.
  • Trajkovik V; Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Skopje, North Macedonia.
  • Aasmets O; Institute of Genomics, Estonian Genome Centre, University of Tartu, Tartu, Estonia.
  • Berland M; Department of Biotechnology, Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia.
  • Gruca A; Université Paris-Saclay, INRAE, MGP, Jouy-en-Josas, France.
  • Hasic J; Department of Computer Networks and Systems, Silesian University of Technology, Gliwice, Poland.
  • Hron K; University Sarajevo School of Science and Technology, Sarajevo, Bosnia and Herzegovina.
  • Klammsteiner T; Department of Mathematical Analysis and Applications of Mathematics, Palacký University, Olomouc, Czechia.
  • Kolev M; Department of Microbiology, University of Innsbruck, Innsbruck, Austria.
  • Lahti L; South West University "Neofit Rilski", Blagoevgrad, Bulgaria.
  • Lopes MB; Department of Computing, University of Turku, Turku, Finland.
  • Moreno V; NOVA Laboratory for Computer Science and Informatics (NOVA LINCS), FCT, UNL, Caparica, Portugal.
  • Naskinova I; Centro de Matemática e Aplicações (CMA), FCT, UNL, Caparica, Portugal.
  • Org E; Oncology Data Analytics Program, Catalan Institute of Oncology (ICO) Barcelona, Spain.
  • Paciência I; Colorectal Cancer Group, Institut de Recerca Biomedica de Bellvitge (IDIBELL), Barcelona, Spain.
  • Papoutsoglou G; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Barcelona, Spain.
  • Shigdel R; Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain.
  • Stres B; South West University "Neofit Rilski", Blagoevgrad, Bulgaria.
  • Vilne B; Institute of Genomics, Estonian Genome Centre, University of Tartu, Tartu, Estonia.
  • Yousef M; EPIUnit - Instituto de Saúde Pública da Universidade do Porto, Porto, Portugal.
  • Zdravevski E; Department of Computer Science, University of Crete, Heraklion, Greece.
  • Tsamardinos I; Department of Clinical Science, University of Bergen, Bergen, Norway.
  • Carrillo de Santa Pau E; Group for Microbiology and Microbial Biotechnology, Department of Animal Science, University of Ljubljana, Ljubljana, Slovenia.
  • Claesson MJ; Bioinformatics Research Unit, Riga Stradins University, Riga, Latvia.
  • Moreno-Indias I; Department of Information Systems, Zefat Academic College, Zefat, Israel.
  • Truu J; Galilee Digital Health Research Center (GDH), Zefat Academic College, Zefat, Israel.
Front Microbiol ; 12: 634511, 2021.
Article en En | MEDLINE | ID: mdl-33737920
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Microbiol Año: 2021 Tipo del documento: Article País de afiliación: España
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Microbiol Año: 2021 Tipo del documento: Article País de afiliación: España