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Global FDR analysis

Global FDR analysis. The False Discovery Rate gives us a value for the proportion of our discoveries that are false discoveries. Multiple Test Hypothesis. Step 1: Experiment  data table. Step 4: Shuffle Patient I.D.’s. Step 5: Repeat Step 2. Step 2:

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Global FDR analysis

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  1. Global FDR analysis The False Discovery Rate gives us a value for the proportion of our discoveries that are false discoveries.

  2. Multiple Test Hypothesis Step 1: Experiment  data table Step 4: Shuffle Patient I.D.’s Step 5: Repeat Step 2 Step 2: Statistics t-test (single tests row-by-row) Step 6: Repeat Step 3 Step 7: Find the False Discovery Rate (FDR) Step 3: Find significant proteins (P-value < 0.01)

  3. Step 1: Experiment  biological read-outs

  4. Step 2: Multiple Single tests: row-by-row  t-value  P-value

  5. Step 3: Find proteins that show a significant p-value < 0.01 • n # proteins = total discoveries

  6. Step 4: Shuffle patient I.D.’s  Permutations

  7. Step 5: Multiple Single tests: row-by-row  t-value  P-value [Steps 4 and 5 are repeated 100x]

  8. Step 6: Find proteins that show a significant p-value < 0.01 Total # Discoveries for P4 • n # False Discoveries per patient

  9. Step 7: Find the average of the false discoveries: AVG # of False Discoveries = (total discoveries of P1 + P2 +… P100) 100 Find the False Discovery Rate (FDR) FDR = AVG # of False Discoveries Total Discoveries

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