|
11801 |
Unfolded protein response pathways in stroke patients: a comprehensive landscape assessed through machine learning algorithms and experimental verification
Enthalten in Journal of translational medicine Bd. 21, 27.10.2023, Nr. 1, date:12.2023: 1-13
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11802 |
Unfolding the dynamics of driving behavior: a machine learning analysis from Germany and Belgium
Enthalten in European transport research review Bd. 16, 1.7.2024, Nr. 1, date:12.2024: 1-13
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11803 |
Unified mRNA Subcellular Localization Predictor based on machine learning techniques
Enthalten in BMC genomics Bd. 25, 7.2.2024, Nr. 1, date:12.2024: 1-18
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11804 |
Universal machine learning aided synthesis approach of two-dimensional perovskites in a typical laboratory
Enthalten in Nature Communications Bd. 15, 2.1.2024, Nr. 1, date:12.2024: 1-10
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11805 |
Universal machine learning for the response of atomistic systems to external fields
Enthalten in Nature Communications Bd. 14, 12.10.2023, Nr. 1, date:12.2023: 1-11
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11806 |
Unlocking cardiac motion: assessing software and machine learning for single-cell and cardioid kinematic insights
Enthalten in Scientific reports Bd. 14, 20.1.2024, Nr. 1, date:12.2024: 1-15
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11807 |
Unlocking HDR-mediated nucleotide editing by identifying high-efficiency target sites using machine learning
Enthalten in Scientific reports Bd. 9, 26.2.2019, Nr. 1, date:12.2019: 1-10
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|
11808 |
Unlocking phonon properties of a large and diverse set of cubic crystals by indirect bottom-up machine learning approach
Enthalten in Communications materials Bd. 4, 15.8.2023, Nr. 1, date:12.2023: 1-11
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11809 |
Unlocking potential biomarkers bridging coronary atherosclerosis and pyrimidine metabolism-associated genes through an integrated bioinformatics and machine learning approach
Enthalten in BMC cardiovascular disorders Bd. 24, 7.3.2024, Nr. 1, date:12.2024: 1-16
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|
11810 |
Unlocking the complete blood count as a risk stratification tool for breast cancer using machine learning: a large scale retrospective study
Enthalten in Scientific reports Bd. 14, 12.5.2024, Nr. 1, date:12.2024: 1-10
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