Editorial: Microbiome and Machine Learning

Isabel Moreno-Indias; Aldert L Zomer; David Gómez-Cabrero; Marcus J Claesson

doi:10.3389/fmicb.2022.964921

Editorial: Microbiome and Machine Learning

Isabel Moreno-Indias, Aldert L Zomer, David Gómez-Cabrero, Marcus J Claesson

Clinical Infectiology

Research output: Contribution to journal › Editorial › Academic › peer-review

Original language	English
Article number	964921
Journal	Frontiers in Microbiology
Volume	13
DOIs	https://doi.org/10.3389/fmicb.2022.964921
Publication status	Published - 5 Jul 2022

Bibliographical note

Funding Information:
This study was supported by the COST Action CA18131 “Statistical and machine learning techniques in human microbiome studies”. IM-I was supported by the “MS type II” program (CPII21/00013) from the Instituto de Salud Carlos III and co-funded by Fondo Europeo de Desarrollo Regional-FEDER.

Keywords

Artificial Intelligence
ML4microbiome
machine learning
microbiome
personalized medicine

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10.3389/fmicb.2022.964921Licence: CC BY

fmicb-13-964921Final published version, 106 KBLicence: CC BY

Cite this

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title = "Editorial: Microbiome and Machine Learning",

keywords = "Artificial Intelligence, ML4microbiome, machine learning, microbiome, personalized medicine",

author = "Isabel Moreno-Indias and Zomer, \{Aldert L\} and David G{\'o}mez-Cabrero and Claesson, \{Marcus J\}",

note = "Funding Information: This study was supported by the COST Action CA18131 “Statistical and machine learning techniques in human microbiome studies”. IM-I was supported by the “MS type II” program (CPII21/00013) from the Instituto de Salud Carlos III and co-funded by Fondo Europeo de Desarrollo Regional-FEDER.",

year = "2022",

month = jul,

day = "5",

doi = "10.3389/fmicb.2022.964921",

language = "English",

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issn = "1664-302X",

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T2 - Microbiome and Machine Learning

AU - Moreno-Indias, Isabel

AU - Zomer, Aldert L

AU - Gómez-Cabrero, David

AU - Claesson, Marcus J

N1 - Funding Information: This study was supported by the COST Action CA18131 “Statistical and machine learning techniques in human microbiome studies”. IM-I was supported by the “MS type II” program (CPII21/00013) from the Instituto de Salud Carlos III and co-funded by Fondo Europeo de Desarrollo Regional-FEDER.

PY - 2022/7/5

Y1 - 2022/7/5

KW - Artificial Intelligence

KW - ML4microbiome

KW - machine learning

KW - microbiome

KW - personalized medicine

UR - https://www.scopus.com/pages/publications/85134216054

U2 - 10.3389/fmicb.2022.964921

DO - 10.3389/fmicb.2022.964921

M3 - Editorial

C2 - 35865916

SN - 1664-302X

VL - 13

JO - Frontiers in Microbiology

JF - Frontiers in Microbiology

M1 - 964921

ER -

Editorial: Microbiome and Machine Learning

Bibliographical note

Keywords

Access to Document

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