sum(exonBaseMean), sig = max(sig) ) %>%
ungroup()
I can then run goseq using the lengths as the bias data:
genes <- retained_genes$sig
names(genes) <- retained_genes$gene_id
bias.data...CY9MhRQ.png)
And then proceed to test for category enrichment:
go.retainted.length <- goseq(pwf, genome='hg19',…