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26291 |
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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26292 |
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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26293 |
Protein tertiary structure prediction by integrating ant colony optimization with path relinking and structure knowledge
Enthalten in International journal of information technology Bd. 15, 7.3.2023, Nr. 3, date:3.2023: 1399-1405
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26294 |
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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26295 |
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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26296 |
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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26297 |
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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26298 |
Protostellar classification using supervised machine learning algorithms
Enthalten in Astrophysics and space science Bd. 363, 29.8.2018, Nr. 9, date:9.2018: 1-15
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26299 |
PROUD: PaRetO-gUided diffusion model for multi-objective generation
Enthalten in Machine learning Bd. 113, 2.7.2024, Nr. 9, date:9.2024: 6511-6538
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26300 |
Provenance studies of Au-bearing stream sediments and performance assessment of machine learning-based models: insight from whole-rock geochemistry central Tanzania, East Africa
Enthalten in Environmental earth sciences Bd. 83, 29.1.2024, Nr. 3, date:2.2024: 1-16
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