Combines one sided pvalues using Fisher's method.
1  fishercomb(indpval, BHth = 0.05)

indpval 
List of vectors of one sided pvalues to be combined. 
BHth 
Benjamini Hochberg threshold. By default, the False Discovery Rate is controlled at 5%. 
The test statistic for each gene g is defined as
F_g = 2 ∑_{s=1}^S ln(p_{gs})
where p_{gs} corresponds to the raw pvalue obtained for gene g in a differential analysis for study s (assumed to be uniformly distributed under the null hypothesis). Under the null hypothesis, the test statistic F_g follows a chisquared distribution with 2S degrees of freedom. Classical procedures for the correction of multiple testing, such as that of Benjamini and Hochberg (1995) may subsequently be applied to the obtained pvalues to control the false discovery rate at a desired rate α.
DEindices 
Indices of differentially expressed genes at the chosen Benjamini Hochberg threshold. 
TestStatistic 
Vector with test statistics for differential expression in the metaanalysis. 
rawpval 
Vector with raw pvalues for differential expression in the metaanalysis. 
adjpval 
Vector with adjusted pvalues for differential expression in the metaanalysis. 
Y. Benjamini and Y. Hochberg (1995). Controlling the false discovery rate: a pratical and powerful approach to multiple testing. JRSS B (57): 289300.
M. Brown (1975). A method for combining nonindependent, onesided tests of significance. Biometrics 31(4): 987992.
A. Rau, G. Marot and F. Jaffrezic (2014). Differential metaanalysis of RNAseq data. BMC Bioinformatics 15:91
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