sva_modify_pvalues | R Documentation |
This is from section 5 of the sva manual: "Adjusting for surrogate values using the f.pvalue function." The following chunk of code is longer and more complex than I would like. This is because f.pvalue() assumes a pairwise comparison of a data set containing only two experimental factors. As a way to provide an example of _how_ to calculate appropriately corrected p-values for surrogate factor adjusted models, this is great; but when dealing with actual data, it falls a bit short.
sva_modify_pvalues(results)
results |
Table of differential expression results. |
[sva]
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