Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data.
- DOI
- 10.1038/s41598-019-46649-z
- Published
- 2019 Jul 17
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-019-46649-z,
title = {Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data.},
author = {Romagnoni A and Jégou S and Van Steen K and Wainrib G and Hugot JP and International Inflammatory Bowel Disease Genetics Consortium (IIBDGC)},
year = {2019},
journal = {Scientific reports},
doi = {10.1038/s41598-019-46649-z},
url = {https://doi.org/10.1038/s41598-019-46649-z}
}RIS
TY - JOUR TI - Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data. AU - Romagnoni A AU - Jégou S AU - Van Steen K AU - Wainrib G AU - Hugot JP AU - International Inflammatory Bowel Disease Genetics Consortium (IIBDGC) PY - 2019 JO - Scientific reports DO - 10.1038/s41598-019-46649-z UR - https://doi.org/10.1038/s41598-019-46649-z ER -
APA
A, R., S, J., K, V. S., G, W., JP, H., & (IIBDGC), I. I. B. D. G. C. (2019). Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data.. Scientific reports. https://doi.org/10.1038/s41598-019-46649-z
Source records
- pubmed · retrieved 2026-09-26T18:54:36.472Z