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1. Comments on: Augmenting the bootstrap to analyze high dimensional genomic data


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2. As in Fig


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3. The first row shows the densities, the second the distribution function and the last row the local and tail area-based false discovery rates


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4. High-Dimensional Regression and Variable Selection Using CAR Scores


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5. A Simple Scheme for Mining Approximate Evolutionary Trees From Large Scale Data Sets

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6. Accurate Ranking of Differentially Expressed Genes by a Distribution-Free Shrinkage Approach


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7. A Shrinkage Approach to Large-Scale Covariance Matrix Estimation and Implications for Functional Genomics


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8. A Shrinkage Approach to Large-Scale Covariance Matrix Estimation and Implications for Functional Genomics


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9. Partially causal network inferred from the data by the method introduced in this paper – note the


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10. Directed VAR network inferred from the data


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