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DeepOmicsAE: Representing Signaling Modules in Alzheimer's Disease with Deep Learning Analysis of Proteomics, Metabolomics, and Clinical Data
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Jingshan Huang1, Jiangbo Dang, Michael N Huhns
1Dept Biostatistics, Bioinformatics, and Epidemiology, Medical University of South Carolina, Charleston, SC 29425, USA. huang@musc.edu
This study introduces an artificial neural network approach to automatically align biological ontologies by learning optimal weights for semantic aspects. This method advances automated ontology alignment, overcoming limitations of existing techniques.
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2026-06-19T13:36:14.229224+00:00