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Linear regression How to measure the accuracy of linear regression models Linear Regression disease disease disease disease disease disease disease disease normal normal normal normal normal normal normal normal normal normal


  1. Linear regression

  2. How to measure the accuracy of linear regression models

  3. Linear Regression disease disease disease disease disease disease disease disease normal normal normal normal normal normal normal normal normal normal normal normal normal normal normal normal X y i = x T i � + ✏ i = � j X i,j + ✏ i j Fitting error: ✏ i

  4. Linear Regression disease disease disease disease disease disease disease disease normal normal normal normal normal normal normal normal normal normal normal normal normal normal normal normal Assumption: errors are Gaussian noises y = X � + ✏ β ∗ = arg min X X β j X i,j ) 2 ( y i − β i j

  5. Linear Regression β ∗ = arg min X X β j X i,j ) 2 ( y i − β i j β ( y − X β ) T ( y − X β ) = arg min = ( X T X ) − 1 X T y Question: How to derive the closed-form solution?

  6. Clustering

  7. Finding hidden structure in data

  8. Expression analysis Blood Brain Liver

  9. Single-cell expression analysis

  10. Clustering: examples

  11. Network clustering

  12. Clustering

  13. Clustering

  14. Clustering algorithms

  15. K-means

  16. K-means for segmentation

  17. When will K-means fail?

  18. Hierarchical clustering

  19. Agglomerative clustering

  20. Complete Single

  21. Application to breast cancer expression data

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