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27111 - 27120 von 32615

	27111	Metabolic profiles and prediction of failure to thrive of citrin deficiency with normal liver function based on metabolomics and machine learning Enthalten in Nutrition & metabolism Bd. 22, 12.5.2025, Nr. 1, date:12.2025: 1-12
	27112	Metabolomic machine learning predictor for diagnosis and prognosis of gastric cancer Enthalten in Nature Communications Bd. 15, 23.2.2024, Nr. 1, date:12.2024: 1-13
	27113	Metabolomic profiling of dengue infection: unraveling molecular signatures by LC-MS/MS and machine learning models Enthalten in Metabolomics Bd. 20, 21.9.2024, Nr. 5, date:10.2024: 1-17
	27114	Metabolomics and machine learning approaches for diagnostic and prognostic biomarkers screening in sepsis Enthalten in BMC anesthesiology Bd. 23, 9.11.2023, Nr. 1, date:12.2023: 1-13
	27115	Metabolomics and machine learning approaches for diagnostic biomarkers screening in systemic light chain amyloidosis Enthalten in Annals of hematology Bd. 104, 13.3.2025, Nr. 3, date:3.2025: 1669-1678
	27116	Metabolomics and machine learning identify urine metabolic characteristics and potential biomarkers for severe Mycoplasma pneumoniae pneumonia Enthalten in Scientific reports Bd. 15, 16.5.2025, Nr. 1, date:12.2025: 1-11
	27117	Metabolomics and machine learning technique revealed that germination enhances the multi-nutritional properties of pigmented rice Enthalten in Communications biology Bd. 6, 2.10.2023, Nr. 1, date:12.2023: 1-11
	27118	MetaClean: a machine learning-based classifier for reduced false positive peak detection in untargeted LC–MS metabolomics data Enthalten in Metabolomics Bd. 16, 21.10.2020, Nr. 11, date:11.2020: 1-13
	27119	MetaComp: comprehensive analysis software for comparative meta-omics including comparative metagenomics Enthalten in BMC bioinformatics Bd. 18, 2.10.2017, Nr. 1, date:12.2017: 1-16
	27120	Metagenomic and machine learning-aided identification of biomarkers driving distinctive Cd accumulation features in the root-associated microbiome of two rice cultivars Enthalten in ISME communications Bd. 3, 22.2.2023, Nr. 1, date:12.2023: 1-13

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