Editorial: Microbiome and Machine Learning

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

doi:10.3389/fmicb.2022.964921

Editorial: Microbiome and Machine Learning

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

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

Original language	English (US)
Journal	Frontiers in microbiology
Volume	13
DOIs	https://doi.org/10.3389/fmicb.2022.964921
State	Published - Jul 5 2022

Bibliographical note

KAUST Repository Item: Exported on 2022-09-14
Acknowledgements: 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.

ASJC Scopus subject areas

Microbiology (medical)
Microbiology

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10.3389/fmicb.2022.964921

https://repository.kaust.edu.sa/bitstream/10754/679808/1/fmicb-13-964921.pdf

Cite this

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title = "Editorial: Microbiome and Machine Learning",

author = "Isabel Moreno-Indias and Zomer, {Aldert L} and David Gomez-Cabrero and Claesson, {Marcus J}",

note = "KAUST Repository Item: Exported on 2022-09-14 Acknowledgements: 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",

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AU - Moreno-Indias, Isabel

AU - Zomer, Aldert L

AU - Gomez-Cabrero, David

AU - Claesson, Marcus J

N1 - KAUST Repository Item: Exported on 2022-09-14 Acknowledgements: 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

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UR - https://www.frontiersin.org/articles/10.3389/fmicb.2022.964921/full

UR - http://www.scopus.com/inward/record.url?scp=85134216054&partnerID=8YFLogxK

U2 - 10.3389/fmicb.2022.964921

DO - 10.3389/fmicb.2022.964921

M3 - Article

C2 - 35865916

SN - 1664-302X

VL - 13

JO - Frontiers in microbiology

JF - Frontiers in microbiology

ER -

Editorial: Microbiome and Machine Learning

Bibliographical note

ASJC Scopus subject areas

Access to Document

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