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1. As in Fig


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


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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. Relative performance of the four investigated methods for learning VAR networks in terms of positive


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7. Undirected GGM network inferred from the data using the algorithm of 7; 9


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


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


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


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