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Retrieved on: 2024-08-20 18:37:55
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Summary
The article discusses a bioinformatics approach using DeepMSProfiler, an end-to-end deep-learning model, to analyze LC-MS-based metabolomics data for disease profiling. The model incorporates techniques like convolutional neural networks, systems biology, and machine learning to improve disease detection accuracy. Tags such as "Metabolism," "Omics," "Deep learning," and "Machine learning" highlight the integration of computational methods with biological data for improved metabolic studies.
Article found on: www.nature.com
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