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Identifying potential circulating miRNA biomarkers for the diagnosis and prediction of ovarian cancer using machine-learning approach: application of Boruta
Research article (Frontiers in Digital Health, 2023) · cited 37× · AI/ML
Identifying potential circulating miRNA biomarkers for the diagnosis and prediction of ovarian cancer using machine-learning approach: application of Boruta
Summary
Identifying potential circulating miRNA biomarkers for the diagnosis and prediction of ovarian cancer using machine-learning approach: application of Boruta is a scholarly article[1].
Key Facts
Identifying potential circulating miRNA biomarkers for the diagnosis and prediction of ovarian cancer using machine-learning approach: application of Boruta's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Identifying potential circulating miRNA biomarkers for the diagnosis and prediction of ovarian cancer using machine-learning approach: application of Boruta. Retrieved May 24, 2026, from https://4ort.xyz/entity/identifying-potential-circulating-mirna-biomarkers-for-the-diagnosis-and-prediction-of-ovarian-cancer-using-machine-lear
MLA“Identifying potential circulating miRNA biomarkers for the diagnosis and prediction of ovarian cancer using machine-learning approach: application of Boruta.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identifying-potential-circulating-mirna-biomarkers-for-the-diagnosis-and-prediction-of-ovarian-cancer-using-machine-lear.
BibTeX@misc{4ortxyz_identifying-potential-circulating-mirna-biomarkers-for-the-diagnosis-and-prediction-of-ovarian-cancer-using-machine-lear_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identifying potential circulating miRNA biomarkers for the diagnosis and prediction of ovarian cancer using machine-learning approach: application of Boruta}}, year = {2026}, url = {https://4ort.xyz/entity/identifying-potential-circulating-mirna-biomarkers-for-the-diagnosis-and-prediction-of-ovarian-cancer-using-machine-lear}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Identifying potential circulating miRNA biomarkers for the diagnosis and prediction of ovarian cancer using machine-learning approach: application of Boruta — https://4ort.xyz/entity/identifying-potential-circulating-mirna-biomarkers-for-the-diagnosis-and-prediction-of-ovarian-cancer-using-machine-lear (retrieved 2026-05-24)
