ihw_adjust | R Documentation |
IHW seems like an excellent way to improve the confidence in the p-values provided by the various DE methods. It expects inputs fairly specific to DESeq2, however, it is trivial to convert other methods to this, ergo this function.
ihw_adjust(
de_result,
pvalue_column = "pvalue",
type = NULL,
mean_column = "baseMean",
significance = 0.05
)
de_result |
Table which should have the 2 types of requisite columns: mean value of counts and p-value. |
pvalue_column |
Name of the column of p-values. |
type |
If specified, this will explicitly perform the calculation for the given type of differential expression analysis: limma, edger, deseq, etc. |
mean_column |
Name of the column of mean values. |
significance |
IHW uses this parameter, I don't know why. |
https://bioconductor.org/packages/release/bioc/vignettes/IHW/inst/doc/introduction_to_ihw.html
weight adjusted p-values.
[IHW]
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