Inference of Gene Regulatory Networks from Bulk and Single Cell Omic Datasets

Inference of Gene Regulatory Networks from Bulk and Single Cell Omic Datasets

Computational Genomics Summer Institute CGSI via YouTube Direct link

Symphony

25 of 25

25 of 25

Symphony

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Inference of Gene Regulatory Networks from Bulk and Single Cell Omic Datasets

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  1. 1 Intro
  2. 2 What is a regulatory network
  3. 3 Why do regulatory networks matter?
  4. 4 Expperimental techniques for mapping regulatory network components
  5. 5 Paradigms of network inference
  6. 6 Expression-based network inference basic principle
  7. 7 A non-exhaustive list of expression-based network inference method
  8. 8 Milestones in expression-based GRN inference
  9. 9 Integrative expression-based network inference
  10. 10 Prior-based approaches for network inference
  11. 11 Methods for incorporating auxiliary data
  12. 12 Inferelator: A parameter prior-based network inference algorithm
  13. 13 Modified Elastic Net (MEN)
  14. 14 MERLIN+P: A structure prior-based network inference algorithm
  15. 15 Network component analysis (NCA) for TFA estimation
  16. 16 A non-exhaustive list of integrative network inference methods
  17. 17 Basic principle of predictive models of expression
  18. 18 Inferring GRNs using predictive models of expression
  19. 19 Using Predictive models to identify regulators of early lineage commitment
  20. 20 Transcriptional dynamics during cellular reprogramming
  21. 21 Expression-based GRN inference vs Predictive models of expression
  22. 22 Single cell genomics is revolutionizing biology
  23. 23 Classes of network inference algorithms
  24. 24 Incorporating accessibility for single cell GRN inference
  25. 25 Symphony

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