Machine-learning analysis of cross-study samples according to the gut microbiome in 12 infant cohorts.

Vänni P, Tejesvi MV, Paalanne N, Aagaard K, Ackermann G, Camargo CA Jr, Eggesbø M, Hasegawa K, Hoen AG, Karagas MR, Kolho K-L, Laursen MF, Ludvigsson J, Madan J, Ownby D, Stanton C, Stokholm J, Tapiainen T

Open source

DOI
10.1128/msystems.00364-23
Published
2023 Dec 21
Container
mSystems
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1128/msystems.00364-23,
  title = {Machine-learning analysis of cross-study samples according to the gut microbiome in 12 infant cohorts.},
  author = {Vänni P and Tejesvi MV and Paalanne N and Aagaard K and Ackermann G and Camargo CA Jr and Eggesbø M and Hasegawa K and Hoen AG and Karagas MR and Kolho K-L and Laursen MF and Ludvigsson J and Madan J and Ownby D and Stanton C and Stokholm J and Tapiainen T},
  year = {2023},
  journal = {mSystems},
  doi = {10.1128/msystems.00364-23},
  url = {https://doi.org/10.1128/msystems.00364-23}
}

RIS

TY  - JOUR
TI  - Machine-learning analysis of cross-study samples according to the gut microbiome in 12 infant cohorts.
AU  - Vänni P
AU  - Tejesvi MV
AU  - Paalanne N
AU  - Aagaard K
AU  - Ackermann G
AU  - Camargo CA Jr
AU  - Eggesbø M
AU  - Hasegawa K
AU  - Hoen AG
AU  - Karagas MR
AU  - Kolho K-L
AU  - Laursen MF
AU  - Ludvigsson J
AU  - Madan J
AU  - Ownby D
AU  - Stanton C
AU  - Stokholm J
AU  - Tapiainen T
PY  - 2023
JO  - mSystems
DO  - 10.1128/msystems.00364-23
UR  - https://doi.org/10.1128/msystems.00364-23
ER  - 

APA

P, V., MV, T., N, P., K, A., G, A., Jr, C. C., M, E., K, H., AG, H., MR, K., K-L, K., MF, L., J, L., J, M., D, O., C, S., J, S., & T, T. (2023). Machine-learning analysis of cross-study samples according to the gut microbiome in 12 infant cohorts.. mSystems. https://doi.org/10.1128/msystems.00364-23

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