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Inference for High-dimensional Data

Inference for High-dimensional Data
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Inference for High-dimensional Data

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EPISODES

Summary and Schedule

1. Example Gene Expression Datasets

2. Basic inference for high-throughput data

3. Procedures for Multiple Comparisons

4. Error Rates

5. The Bonferroni Correction

6. False Discovery Rate

7. Direct Approach to FDR and q-values

8. Basic EDA for high-throughput data

9. Principal Components Analysis

10. Statistical Models

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