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12091 |
Scientific Inference with Interpretable Machine Learning: Analyzing Models to Learn About Real-World Phenomena
Enthalten in Minds and machines Bd. 34, 15.7.2024, Nr. 3, date:9.2024: 1-39
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12092 |
Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next
Enthalten in Journal of scientific computing Bd. 92, 26.7.2022, Nr. 3, date:9.2022: 1-62
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12093 |
SCOUR: a stepwise machine learning framework for predicting metabolite-dependent regulatory interactions
Enthalten in BMC bioinformatics Bd. 22, 8.7.2021, Nr. 1, date:12.2021: 1-17
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12094 |
Screening for novel risk factors related to high myopia using machine learning
Enthalten in BMC ophthalmology Bd. 22, 13.10.2022, Nr. 1, date:12.2022: 1-9
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12095 |
Screening necroptosis genes influencing osteoarthritis development based on machine learning
Enthalten in Scientific reports Bd. 15, 15.3.2025, Nr. 1, date:12.2025: 1-10
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12096 |
Screening of Aβ and phosphorylated tau status in the cerebrospinal fluid through machine learning analysis of portable electroencephalography data
Enthalten in Scientific reports Bd. 15, 15.1.2025, Nr. 1, date:12.2025: 1-9
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12097 |
Screening of CAD-related secretory genes associated with type II diabetes based on comprehensive bioinformatics analysis and machine learning
Enthalten in BMC cardiovascular disorders Bd. 24, 5.11.2024, Nr. 1, date:12.2024: 1-15
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12098 |
Screening of glioma susceptibility SNPs and construction of risk models based on machine learning algorithms
Enthalten in BMC neurology Bd. 25, 5.6.2025, Nr. 1, date:12.2025: 1-7
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12099 |
Screening of immune-related secretory proteins linking chronic kidney disease with calcific aortic valve disease based on comprehensive bioinformatics analysis and machine learning
Enthalten in Journal of translational medicine Bd. 21, 1.6.2023, Nr. 1, date:12.2023: 1-21
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12100 |
Screening of obstructive sleep apnea and diabetes mellitus -related biomarkers based on integrated bioinformatics analysis and machine learning
Enthalten in Sleep and breathing Bd. 29, 13.1.2025, Nr. 1, date:3.2025: 1-10
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Administration
