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27151 |
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. 150, 23.10.2024, Nr. 10, date:10.2024: 1-20
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27152 |
Single-cell RNA-sequencing and genome-wide Mendelian randomisation along with abundant machine learning methods identify a novel B cells signature in gastric cancer
Enthalten in Discover oncology Bd. 16, 6.1.2025, Nr. 1, date:12.2025: 1-16
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27153 |
Single-cell Sequence Analysis Combined with Multiple Machine Learning to Identify Markers in Sepsis Patients: LILRA5
Enthalten in Inflammation Bd. 46, 15.3.2023, Nr. 4, date:8.2023: 1236-1254
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27154 |
Single-Class Classification with Mapping Convergence
Enthalten in Machine learning Bd. 61, 9.6.2005, Nr. 1-3, date:11.2005: 49-69
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27155 |
Single classifier vs. ensemble machine learning approaches for mental health prediction
Enthalten in Brain Informatics Bd. 10, 3.1.2023, Nr. 1, date:12.2023: 1-10
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27156 |
Single-Component/Single-Station–Based Machine Learning for Estimating Magnitude and Location of an Earthquake: A Support Vector Machine Approach
Enthalten in Pure and applied geophysics Bd. 178, 12.5.2021, Nr. 6, date:6.2021: 1959-1976
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27157 |
Single nucleotide polymorphism genes and mitochondrial DNA haplogroups as biomarkers for early prediction of knee osteoarthritis structural progressors: use of supervised machine learning classifiers
Enthalten in BMC medicine Bd. 20, 12.9.2022, Nr. 1, date:12.2022: 1-16
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27158 |
Single-shot and lensless complex-amplitude imaging with incoherent light based on machine learning
Enthalten in Optical review Bd. 25, 31.7.2018, Nr. 5, date:10.2018: 593-597
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27159 |
Single-trial extraction of event-related potentials (ERPs) and classification of visual stimuli by ensemble use of discrete wavelet transform with Huffman coding and machine learning techniques
Enthalten in Journal of neuroEngineering and rehabilitation Bd. 20, 2.6.2023, Nr. 1, date:12.2023: 1-17
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27160 |
Six clinical phenotypes with prognostic implications were identified by unsupervised machine learning in children and adolescents with SARS-CoV-2 infection: results from a German nationwide registry
Enthalten in Respiratory research Bd. 25, 30.10.2024, Nr. 1, date:12.2024: 1-11
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