Taxonomy-based data representation for data mining: an example of the magnitude of risk associated with H. pylori infection
- DOI
- 10.1186/s13040-021-00271-w
- Published
- 2021-08-28
- Container
- BioData Mining
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s13040-021-00271-w,
title = {Taxonomy-based data representation for data mining: an example of the magnitude of risk associated with H. pylori infection},
author = {Inese Polaka and Danute Razuka-Ebela and Jin Young Park and Marcis Leja},
year = {2021},
journal = {BioData Mining},
doi = {10.1186/s13040-021-00271-w},
url = {https://doi.org/10.1186/s13040-021-00271-w}
}RIS
TY - JOUR TI - Taxonomy-based data representation for data mining: an example of the magnitude of risk associated with H. pylori infection AU - Inese Polaka AU - Danute Razuka-Ebela AU - Jin Young Park AU - Marcis Leja PY - 2021 JO - BioData Mining DO - 10.1186/s13040-021-00271-w UR - https://doi.org/10.1186/s13040-021-00271-w ER -
APA
Polaka, I., Razuka-Ebela, D., Park, J. Y., & Leja, M. (2021). Taxonomy-based data representation for data mining: an example of the magnitude of risk associated with H. pylori infection. BioData Mining. https://doi.org/10.1186/s13040-021-00271-w
Source records
- crossref · retrieved 2026-09-25T23:06:57.596Z