Predicting microbiome compositions from species assemblages through deep learning.

Michel-Mata S, Wang XW, Liu YY, Angulo MT

Open source

DOI
10.1002/imt2.3
Published
2022 Mar
Container
iMeta
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1002/imt2.3,
  title = {Predicting microbiome compositions from species assemblages through deep learning.},
  author = {Michel-Mata S and Wang XW and Liu YY and Angulo MT},
  year = {2022},
  journal = {iMeta},
  doi = {10.1002/imt2.3},
  url = {https://doi.org/10.1002/imt2.3}
}

RIS

TY  - JOUR
TI  - Predicting microbiome compositions from species assemblages through deep learning.
AU  - Michel-Mata S
AU  - Wang XW
AU  - Liu YY
AU  - Angulo MT
PY  - 2022
JO  - iMeta
DO  - 10.1002/imt2.3
UR  - https://doi.org/10.1002/imt2.3
ER  - 

APA

S, M., XW, W., YY, L., & MT, A. (2022). Predicting microbiome compositions from species assemblages through deep learning.. iMeta. https://doi.org/10.1002/imt2.3

Source records