Integrating Patient Level Multi-omics Data Using Deep Learning Models

Integrating Patient Level Multi-omics Data Using Deep Learning Models

Broad Institute via YouTube Direct link

Intro

1 of 12

1 of 12

Intro

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Integrating Patient Level Multi-omics Data Using Deep Learning Models

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

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