Editorial: Predictive Modeling of Human Microbiota and Their Role in Health and Disease
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About: This article is published in Frontiers in Microbiology. The article was published on 30 Nov 2021. and is currently open access.
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Citations
Kinetics-based inference of environment-dependent microbial interactions and their dynamic variation
Hyun‐Seob Song,Na‐Rae Lee,Aimee K. Kessell,Hugh C. McCullough,Seo‐Young Park,Kang Zhou,Dong‐Yup Lee +6 more
TL;DR: Kinetics-based inference of environment-dependent microbial interactions and their dynamic variation models environment-controlled interspecies interactions by integrating growth kinetics and a generalized Lotka-Volterra model.
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Kinetics-based Inference of Environment-Dependent Microbial Interactions and Their Dynamic Variation
TL;DR: A novel theoretical framework is proposed that allows us to represent interspecies interactions as an explicit function of environmental variables by combining growth kinetics and a generalized Lotka-Volterra model, and is readily applicable to general community ecology to predict interactions among microorganisms such as plants and animals.
Special Issue: “Gut Microbiota and Nutrition in Human Health”
Sunmin Park
TL;DR: This special issue explores the complex relationships between gut microbiota and nutrition, highlighting the symbiotic interactions between microorganisms and their human hosts, and their impact on overall health and well-being.
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Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment.
Laura Judith Marcos-Zambrano,Kanita Karaduzovic-Hadziabdic,Tatjana Loncar Turukalo,Piotr Przymus,Vladimir Trajkovik,Oliver Aasmets,Magali Berland,Aleksandra Gruca,Jasminka Hasic,Karel Hron,Thomas Klammsteiner,Mikhail Kolev,Leo Lahti,Marta B. Lopes,Victor Moreno,Irina Naskinova,Elin Org,Inês Paciência,Georgios Papoutsoglou,Rajesh Shigdel,Blaz Stres,Baiba Vilne,Malik Yousef,Eftim Zdravevski,Ioannis Tsamardinos,Enrique Carrillo de Santa Pau,Marcus J. Claesson,Isabel Moreno-Indias,Isabel Moreno-Indias,Jaak Truu +29 more
TL;DR: In this paper, a review of the state-of-the-art ML methods and respective software applied in human microbiome studies, performed as part of the COST Action ML4Microbiome activities, is presented.