Combines effect sizes already calculated.
directEScombi(ES, varES, BHth = 0.05, useREM = TRUE)Matrix of effect sizes. Each column of ES corresponds to one study and each row to one gene.
Matrix of effect size variances. Each column of varES corresponds to one study and each row to one gene.
Benjamini Hochberg threshold. By default, the False Discovery Rate is controlled at 5%.
A logical value indicating whether or not to include the between-study variance into the model.
List
Indices of differentially expressed genes at the chosen Benjamini Hochberg threshold.
Vector with test statistics for differential expression in the meta-analysis.
Combines effect sizes with the method presented in (Choi et al., 2003).
Choi, J. K., Yu, U., Kim, S., and Yoo, O. J. (2003). Combining multiple microarray studies and modeling interstudy variation. Bioinformatics, 19 Suppl 1.