Optimal Tests Shrinking Both Means and Variances Applicable to Microarray Data Analysis
Optimal Tests Shrinking Both Means and Variances Applicable to Microarray Data Analysis
As a consequence of the "large p small n" characteristic for microarray data, hypothesis tests based on individual genes often result in low average power. There are several proposed tests that attempt to improve power. Among these, the FS test that was developed using the concept of James-Stein shrinkage to …