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CS 466 Introduction to Bioinformatics Instructor: Wesley Wei Qian - PowerPoint PPT Presentation

CS 466 Introduction to Bioinformatics Instructor: Wesley Wei Qian Probability and Statistics Random Variables and Expectations Random Variable Random Variable Probability distribution Joint distribution Marginal distribution Independent


  1. CS 466 Introduction to Bioinformatics Instructor: Wesley Wei Qian

  2. Probability and Statistics Random Variables and Expectations

  3. Random Variable

  4. Random Variable

  5. Probability distribution

  6. Joint distribution

  7. Marginal distribution

  8. Independent variables

  9. Continuous probability distribution

  10. Continuous distribution: density function

  11. Joint distribution

  12. Marginal distribution

  13. Expected value

  14. Expectation

  15. Some properties of expectation

  16. Mean, Variance and Covariance

  17. Examples

  18. Properties of variance and covariance

  19. Properties

  20. Statistics

  21. Mean

  22. Standard deviation and Variance

  23. Normalization

  24. Correlation

  25. Correlation coefficient Also called Pearson Correlation Coefficient

  26. Correlation coefficient vs Relationship

  27. Correlation and Causality monthly data Ice Cream vs Drowning

  28. Ice Cream vs Drowning

  29. Ice Cream vs Drowning

  30. Chocolate vs Nobel Prizes credit: NEJM, 2012

  31. Gene expression analysis sample gene

  32. Correlation analysis

  33. Weighted Edit Distance revisit

  34. BLOcks SUbstitution Matrix (BLOSUM) amino acids

  35. BLOcks SUbstitution Matrix (BLOSUM)

  36. How to get a good substitution score?

  37. BLOcks SUbstitution Matrix (BLOSUM) amino acids

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