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11381 |
Retraction Note: Single-cell omics and machine learning integration to develop a polyamine metabolism-based risk score model in breast cancer patients
Enthalten in Journal of cancer research and clinical oncology Bd. 151, 6.2.2025, Nr. 2, date:2.2025: 1
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11382 |
Retraining and evaluation of machine learning and deep learning models for seizure classification from EEG data
Enthalten in Scientific reports Bd. 15, 2.5.2025, Nr. 1, date:12.2025: 1-12
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11383 |
Retrieval of nicotine content in cigar leaves by remote analysis of aerial hyperspectral combining machine learning methods
Enthalten in Scientific reports Bd. 15, 31.1.2025, Nr. 1, date:12.2025: 1-14
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11384 |
Retrospective analysis of interpretable machine learning in predicting ICU thrombocytopenia in geriatric ICU patients
Enthalten in Scientific reports Bd. 14, 20.7.2024, Nr. 1, date:12.2024: 1-13
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11385 |
Revealing accuracy in climate dynamics: enhancing evapotranspiration estimation using advanced quantile regression and machine learning models
Enthalten in Applied water science Bd. 14, 24.6.2024, Nr. 7, date:7.2024: 1-22
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11386 |
Revealing Alzheimer’s disease genes spectrum in the whole-genome by machine learning
Enthalten in BMC neurology Bd. 18, 10.1.2018, Nr. 1, date:12.2018: 1-8
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11387 |
Revealing effective regional decarbonisation measures to limit global temperature increase in uncertain transition scenarios with machine learning techniques
Enthalten in Climatic change Bd. 176, 16.6.2023, Nr. 7, date:7.2023: 1-23
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11388 |
Revealing low-temperature plasma efficacy through a dose-rate assessment by DNA damage detection combined with machine learning models
Enthalten in Scientific reports Bd. 12, 1.11.2022, Nr. 1, date:12.2022: 1-10
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11389 |
Revealing novel pyroptosis-related therapeutic targets for sepsis based on machine learning
Enthalten in BMC medical genomics Bd. 16, 10.2.2023, Nr. 1, date:12.2023: 1-15
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11390 |
Revealing potential diagnostic gene biomarkers of septic shock based on machine learning analysis
Enthalten in BMC infectious diseases Bd. 22, 19.1.2022, Nr. 1, date:12.2022: 1-16
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Administration
