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T2D cohort with multi-modal data
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Classroom Contents
Integrating Patient Level Multi-omics Data Using Deep Learning Models
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- 1 Intro
- 2 Topic: Multi-modal data integration
- 3 Supervised: Predict patient outcomes
- 4 Deep Learning for integration
- 5 EIR: Supervised leaming from large scale genomics data
- 6 Integrating genomics and biomarkers
- 7 Using EIR to model the biomarkers
- 8 Unsupervised DL for data integration
- 9 T2D cohort with multi-modal data
- 10 Unsupervised deep learning: Autoencoders
- 11 Latent representation
- 12 Perspectives
