Optimal Control of Directional False Discovery Rates in Large‐Scale Testing
Optimal Control of Directional False Discovery Rates in Large‐Scale Testing
ABSTRACT The high‐throughput biomedical technology enables measurement of thousands of gene expression levels contemporaneously. A major task in analyzing these gene expression data is to identify both over‐expressed and under‐expressed genes. The popular two‐group models select the non‐null genes without further classifying them as overexpression or underexpression. Consequently, two‐group decision …