Useful summary of the most distinguishing features in each group.

top_markers_dds(res, n = 10, pval_max = 1, padj_max = 1, lfc_min = 1)

Arguments

res

table returned by pseudobulk_deseq2() function.

n

number of markers to find for each.

pval_max

filter features with pval > pval_max.

padj_max

filter features with padj > padj_max.

lfc_min

filter features with log2FoldChange < lfc_min

@return table with the top n markers for each cluster.