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11751 |
Protein interactions, network pharmacology, and machine learning work together to predict genes linked to mitochondrial dysfunction in hypertrophic cardiomyopathy
Enthalten in Scientific reports Bd. 15, 29.4.2025, Nr. 1, date:12.2025: 1-23
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11752 |
Protein-RNA interface residue prediction using machine learning: an assessment of the state of the art
Enthalten in BMC bioinformatics Bd. 13, 10.5.2012, Nr. 1, date:12.2012: 1-20
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11753 |
ProteinNet: a standardized data set for machine learning of protein structure
Enthalten in BMC bioinformatics Bd. 20, 11.6.2019, Nr. 1, date:12.2019: 1-10
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11754 |
Proteomic analysis to identification of hypoxia related markers in spinal tuberculosis: a study based on weighted gene co-expression network analysis and machine learning
Enthalten in BMC medical genomics Bd. 16, 20.6.2023, Nr. 1, date:12.2023: 1-17
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11755 |
Proteomics and machine learning in the prediction and explanation of low pectoralis muscle area
Enthalten in Scientific reports Bd. 14, 3.8.2024, Nr. 1, date:12.2024: 1-13
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11756 |
Proteomics profiling and machine learning in nusinersen-treated patients with spinal muscular atrophy
Enthalten in Cellular and molecular life sciences Bd. 81, 10.9.2024, Nr. 1, date:12.2024: 1-15
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11757 |
Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients
Enthalten in BMC medical informatics and decision making Bd. 20, 29.4.2020, Nr. 1, date:12.2020: 1-11
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11758 |
Publisher Correction: 2023—A twofold commemoration: the 100th birthday of Walsh functions and the 50th anniversary of Professor Joseph Leonard Walsh’s death
Enthalten in Sampling theory, signal processing, and data analysis Bd. 22, 3.4.2024, Nr. 1, date:6.2024: 1-2
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11759 |
Publisher Correction: A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI images
Enthalten in Scientific reports Bd. 15, 11.3.2025, Nr. 1, date:12.2025: 1
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11760 |
Publisher Correction: A robust and interpretable ensemble machine learning model for predicting healthcare insurance fraud
Enthalten in Scientific reports Bd. 15, 13.5.2025, Nr. 1, date:12.2025: 1
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