Improved Covariance Matrix Estimators for Weighted Analysis of Microarray Data


Empirical Bayes models have been shown to be powerful tools for identifying differentially expressed genes from gene expression microarray data. An example is the WAME model, where a global covariance matrix accounts for array-to-array correlations as well as differing variances between arrays. However, the existing method for estimating the covariance… (More)
DOI: 10.1089/cmb.2007.0078