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