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Analyzing Signaling Modules in Alzheimer's Disease with Deep Learning

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DeepOmicsAE: Darstellung von Signalmodulen bei der Alzheimer-Krankheit mit Deep-Learning-Analyse von Proteomik, Metabolomik und klinischen Daten

JoVE Journal
Biologia

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JoVE Journal Biologia

DeepOmicsAE: Representing Signaling Modules in Alzheimer’s Disease with Deep Learning Analysis of Proteomics, Metabolomics, and Clinical Data

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DeepOmicsAE: Darstellung von Signalmodulen bei der Alzheimer-Krankheit mit Deep-Learning-Analyse von Proteomik, Metabolomik und klinischen Daten

Analyzing Signaling Modules in Alzheimer's Disease with Deep Learning

DOI:

10.3791/65910-v

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01:58 min

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December 15, 2023

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Elena Panizza

¹Department of Molecular Medicine,Cornell University

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Alzheimer’s Disease Multi-omics Data Deep Learning Autoencoder Proteomics Metabolomics Clinical Data Feature Importance Molecular Pathways Risk Factors Personalized Medicine

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DeepOmicsAE: Darstellung von Signalmodulen bei der Alzheimer-Krankheit mit Deep-Learning-Analyse von Proteomik, Metabolomik und klinischen Daten

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