Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment

Laura Judith Marcos-Zambrano(Madrid Institute for Advanced Studies), Jaak Truu(University of Tartu), Enrique Carrillo de Santa Pau(Madrid Institute for Advanced Studies), Mikhail Kolev(South-West University "Neofit Rilski"), Tatjana Lončar-Turukalo(University of Novi Sad), Isabel Moreno‐Indias(Instituto de Salud Carlos III), Irina Naskinova(South-West University "Neofit Rilski"), Kanita Karađuzović-Hadžiabdić(International University of Sarajevo), Vladimir Trajkovik(Ss. Cyril and Methodius University in Skopje), Elin Org(University of Tartu), Karel Hron(Palacký University Olomouc), Rajesh Shigdel(University of Bergen), Inês Paciência(Oulu University Hospital), Aleksandra Gruca(Silesian University of Technology), Magali Berland(Université Paris-Saclay), Vı́ctor Moreno(Ajuntament de L’Hospitalet), Thomas Klammsteiner(Universität Innsbruck), Piotr Przymus(Nicolaus Copernicus University), Γεώργιος Παπουτσόγλου(University of Crete), Blaž Stres(University of Ljubljana), Marcus J. Claesson(University College Cork), Ioannis Tsamardinos(University of Crete), Leo Lahti(University of Turku), Baiba Vilne(Riga Stradiņš University), Malik Yousef(The University of Texas MD Anderson Cancer Center), Eftim Zdravevski(Ss. Cyril and Methodius University in Skopje), Marta B. Lopes(Universidade Nova de Lisboa), Oliver Aasmets(University of Tartu)
Frontiers in Microbiology
February 19, 2021
Cited by 390


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