Skip to content
Prev 16305 / 21312 Next

[Bioc-devel] Class for differentially expressed genes?

Hi Roman,

I think it is probably also helpful to check out how DESeq2 and edgeR 
(two popular Bioconductor packages for differential expression analysis) 
have solved that problem:

In DESeq2 for example the `nbinomWaldTest()` function calculates the 
differential expression and stores the results in the `rowData()` of the 
DESeqDataSet / SummarizedExperiment. The `results()` function extracts a 
standard `data.frame` with all the columns that you mentioned.

In edgeR the `glmLRT()` function calculates differential expression with 
the likelihood ratio test and returns directly a `data.frame` with the 
mentioned columns.

Best Regards,
Constantin

Am 09.03.20 um 12:44 schrieb Shepherd, Lori: