Data-Driven Understanding of Human Disease: From Machine Learning Methods to Biological Discoveries

Data-Driven Understanding of Human Disease: From Machine Learning Methods to Biological Discoveries

Paul G. Allen School via YouTube Direct link

One fundamental puzzle

4 of 27

4 of 27

One fundamental puzzle

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Data-Driven Understanding of Human Disease: From Machine Learning Methods to Biological Discoveries

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  1. 1 Introduction
  2. 2 The main problem
  3. 3 The human genome
  4. 4 One fundamental puzzle
  5. 5 How does a single letter change
  6. 6 Complex networks
  7. 7 Model organisms
  8. 8 How we started answering the first question
  9. 9 What happens if we are outside of the genes
  10. 10 Deep convolutional neural net
  11. 11 Neanderthal genome
  12. 12 Does it actually work
  13. 13 Humanbase
  14. 14 Cross organism networks
  15. 15 Naive Bayesian classifier
  16. 16 Semisupervised training
  17. 17 Free time
  18. 18 How do we study these mechanisms
  19. 19 Can we systematically integrate model organism information with the human quantitative genetic studies
  20. 20 Parkinsons disease
  21. 21 Top genes
  22. 22 Bodybuilding
  23. 23 Keynote
  24. 24 Proteinprotein interactions
  25. 25 Dynamics with networks
  26. 26 Suppressor screens
  27. 27 Subsampling

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