directEScombi: Direct effect size combination

In metaMA: Meta-Analysis for MicroArrays

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 ES corresponds to one study and each row to one gene.
varES	Matrix of effect size variances. Each column of varES corresponds to one study and each row to one gene.
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.

metaMA documentation built on April 12, 2022, 5:07 p.m.