A machine learning framework for discovery and enrichment of metagenomics metadata from open access publications.
- DOI
- 10.1093/gigascience/giac077
- Published
- 2022 Aug 11
- Container
- GigaScience
- 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.
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Cite this work
BibTeX
@article{allodium:10.1093/gigascience/giac077,
title = {A machine learning framework for discovery and enrichment of metagenomics metadata from open access publications.},
author = {Nassar M and Rogers AB and Talo' F and Sanchez S and Shafique Z and Finn RD and McEntyre J},
year = {2022},
journal = {GigaScience},
doi = {10.1093/gigascience/giac077},
url = {https://doi.org/10.1093/gigascience/giac077}
}RIS
TY - JOUR TI - A machine learning framework for discovery and enrichment of metagenomics metadata from open access publications. AU - Nassar M AU - Rogers AB AU - Talo' F AU - Sanchez S AU - Shafique Z AU - Finn RD AU - McEntyre J PY - 2022 JO - GigaScience DO - 10.1093/gigascience/giac077 UR - https://doi.org/10.1093/gigascience/giac077 ER -
APA
M, N., AB, R., F, T., S, S., Z, S., RD, F., & J, M. (2022). A machine learning framework for discovery and enrichment of metagenomics metadata from open access publications.. GigaScience. https://doi.org/10.1093/gigascience/giac077
Source records
- pubmed · retrieved 2026-09-25T11:35:01.060Z