Machine-learning analysis of cross-study samples according to the gut microbiome in 12 infant cohorts
Year of publication
2023
Authors
Vänni, Petri; Tejesvi, Mysore V.; Paalanne, Niko; Aagaard, Kjersti; Ackermann, Gail; Camargo, Carlos A.; Eggesbo, Merete; Hasegawa, Kohei; Hoen, Anne G.; Karagas, Margaret R.; Kolho, Kaija-Leena; Laursen, Martin F.; Ludvigsson, Johnny; Madan, Juliette; Ownby, Dennis; Stanton, Catherine; Stokholm, Jakob; Tapiainen, Terhi
Show moreOrganizations and authors
Publication type
Publication format
Article
Parent publication type
Journal
Article type
Original article
Audience
ScientificPeer-reviewed
Peer-ReviewedMINEDU's publication type classification code
A1 Journal article (refereed), original researchPublication channel information
Open access
Open access in the publisher’s service
Yes
Open access of publication channel
Fully open publication channel
Self-archived
Yes
License of the self-archived publication
CC BY
Other information
Fields of science
Plant biology, microbiology, virology; Gynaecology and paediatrics
Publication country
United States
Internationality of the publisher
International
Language
English
International co-publication
Yes
Co-publication with a company
No
DOI
10.1128/msystems.00364-23
The publication is included in the Ministry of Education and Culture’s Publication data collection
Yes