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Applications of Machine Learning in Human Microbiome Studies: A Review on Featu...

Marcos-Zambrano, LJ; Karaduzovic-Hadziabdic, K; Loncar, Turukalo, T; Przymus, P; Trajkovik, V; Aasmets, O; Berland, M; Gruca, A; Hasic, J; Hron, K

The number of microbiome-related studies has notably increased the availability of data on human microbiome composition and function. These studies provide the essential material to deeply explore host-microbiome associations and their relation to the development and progression of various complex diseases. Improved data-analytical tools are needed to exploit all information from these biological datasets, taki...

Date: 2021   |   Origin: Repositório Aberto da Universidade do Porto
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