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Analyzing Signaling Modules in Alzheimer's Disease with Deep Learning
December 15, 2023
DeepOmicsAE：通过蛋白质组学、代谢组学和临床数据的深度学习分析来表示阿尔茨海默病中的信号转导模块
01:58 min
•
Data Preprocessing for DeepOmicsAE Workflow
01:28 min
•
Optimizing Model Parameters and Implementing DeepOmicsAE Workflow
04:04 min
•
Biological Interpretation of DeepOmicsAE Output Using MetaboAnalyst
02:22 min
•
Elena Panizza
1
Department of Molecular Medicine
,
Cornell University
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DeepOmicsAE是一个以应用深度学习方法（即自动编码器）为中心的工作流程，以降低多组学数据的维度，为代表多层组学数据的预测模型和信号转导模块提供基础。
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