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DeepOmicsAE: Representing Signaling Modules in Alzheimer's Disease with Deep Learning Analysis of Proteomics, Metabolomics, and Clinical Data
Published on: December 15, 2023
Intra- and inter-multi-omics interaction analysis using deep learning
Mingon Kang1, Eunyoung Jang1, Tesfaye B Mersha2
1Department of Computer Science, University of Nevada, Las Vegas, NV 89154, USA.
Abstract:
Multi-omics interactions, including intra- and inter-omics interactions as well as socio-environmental influences, are key to uncovering molecular mechanisms that may be missed by individual omics analysis or conventional integration approaches. Deep learning offers a promising solution to overcome current limitations, including the complexity of modeling high-dimensional, nonlinear interactions, limited sample size and multiple testing burden.
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