Towards the optimisation and standardisation of Machine Learning techniques for human microbiome research: the ML4Microbiome COST Action (CA 18131)

Marcus Claesson

doi:10.14806/ej.26.a.997

Towards the optimisation and standardisation of Machine Learning techniques for human microbiome research: the ML4Microbiome COST Action (CA 18131)

Marcus Claesson

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	EMBnet journal
DOIs	https://doi.org/10.14806/ej.26.a.997
Publication status	Published - 2021

Keywords

Action (physics)
Microbiome
Computer science
Biochemical engineering
Artificial intelligence
Engineering
Biology
Bioinformatics
Physics
Quantum mechanics

Access to Document

10.14806/ej.26.a.997

https://openalex.org/W3181733786Licence: CC BY-NC-ND

Cite this

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title = "Towards the optimisation and standardisation of Machine Learning techniques for human microbiome research: the ML4Microbiome COST Action (CA 18131)",

keywords = "Action (physics), Microbiome, Computer science, Biochemical engineering, Artificial intelligence, Engineering, Biology, Bioinformatics, Physics, Quantum mechanics",

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year = "2021",

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language = "English",

journal = "EMBnet journal",

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KW - Biochemical engineering

KW - Artificial intelligence

KW - Engineering

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KW - Bioinformatics

KW - Physics

KW - Quantum mechanics

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DO - 10.14806/ej.26.a.997

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