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Identification of key biomarkers for predicting atherosclerosis progression in polycystic ovary syndrome via bioinformatics analysis and machine learning
Research article (Computers in Biology and Medicine, 2024) · cited 14× · AI/ML
Identification of key biomarkers for predicting atherosclerosis progression in polycystic ovary syndrome via bioinformatics analysis and machine learning
Summary
Identification of key biomarkers for predicting atherosclerosis progression in polycystic ovary syndrome via bioinformatics analysis and machine learning is a scholarly article[1].
Key Facts
Identification of key biomarkers for predicting atherosclerosis progression in polycystic ovary syndrome via bioinformatics analysis and machine learning's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Identification of key biomarkers for predicting atherosclerosis progression in polycystic ovary syndrome via bioinformatics analysis and machine learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/identification-of-key-biomarkers-for-predicting-atherosclerosis-progression-in-polycystic-ovary-syndrome-via-bioinformat
MLA“Identification of key biomarkers for predicting atherosclerosis progression in polycystic ovary syndrome via bioinformatics analysis and machine learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identification-of-key-biomarkers-for-predicting-atherosclerosis-progression-in-polycystic-ovary-syndrome-via-bioinformat.
BibTeX@misc{4ortxyz_identification-of-key-biomarkers-for-predicting-atherosclerosis-progression-in-polycystic-ovary-syndrome-via-bioinformat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identification of key biomarkers for predicting atherosclerosis progression in polycystic ovary syndrome via bioinformatics analysis and machine learning}}, year = {2026}, url = {https://4ort.xyz/entity/identification-of-key-biomarkers-for-predicting-atherosclerosis-progression-in-polycystic-ovary-syndrome-via-bioinformat}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Identification of key biomarkers for predicting atherosclerosis progression in polycystic ovary syndrome via bioinformatics analysis and machine learning — https://4ort.xyz/entity/identification-of-key-biomarkers-for-predicting-atherosclerosis-progression-in-polycystic-ovary-syndrome-via-bioinformat (retrieved 2026-05-24)
