Closed LTLA closed 5 years ago
Don't forget to add a lfc=
option for pairwiseWilcox()
; this could probably be co-opted from tol=
.
findMarkers
. This should allow you to just do the following for collating results into a single table.markers.pbmc.up <- findMarkers(sce.pbmc, sce.pbmc$cluster, direction="up", log.p=TRUE)
x <- DataFrame(
row.names = rownames(sce.pbmc),
lapply(markers.pbmc.up, "[[", i="log.FDR")
)
pairwiseWilcox()
andpairwiseBinom()
under the auspices offindMarkers()
overlapExprs()
, which is basically justfindMarkers()
forpairwiseWilcox()
anyway.