heatmapCmap | R Documentation |
heatmapCmap is desgined for the cogena result from CMap only so as to collapse the multi-isntance drugs in CMap!
heatmapCmap(
object,
method = clusterMethods(object),
nCluster = nClusters(object),
orderMethod = "max",
MultiInstance = "drug",
CutoffNumGeneset = 20,
CutoffPVal = 0.05,
mergeMethod = "mean",
low = "grey",
high = "red",
na.value = "white",
maintitle = NULL,
printGS = FALSE,
add2 = TRUE,
geom = "tile"
)
## S4 method for signature 'cogena'
heatmapCmap(
object,
method = clusterMethods(object),
nCluster = nClusters(object),
orderMethod = "max",
MultiInstance = "drug",
CutoffNumGeneset = 20,
CutoffPVal = 0.05,
mergeMethod = "mean",
low = "grey",
high = "red",
na.value = "white",
maintitle = "cogena",
printGS = FALSE,
add2 = TRUE,
geom = "tile"
)
object |
a genecl or cogena object |
method |
as clMethods in genecl function |
nCluster |
as nClust in cogena function. |
orderMethod |
the order method, default is max, other options are "mean", "all", "I", "II" or a number meaning the ith cluster. |
MultiInstance |
merge multi instances. Options are "drug", "celldrug", "conccelldrug", "concdrug". |
CutoffNumGeneset |
the cut-off of the number of gene sets in the return table. The default is 20. |
CutoffPVal |
the cut-off of p-value. The default is 0.05. |
mergeMethod |
max or mean. The default is mean. |
low |
colour for low end of gradient. |
high |
colour for high end of gradient. |
na.value |
Colour to use for missing values. |
maintitle |
a character. Default is null |
printGS |
print the enriched gene set names or not. Default is FALSE |
add2 |
enrichment score for add Up and Down reuglated genes. |
geom |
tile or circle |
orderMethod:
max. ordered by the max value in clusters beside all
mean. ordered by the mean value in clusters beside all
All. ordered by all genes
Up. ordered by up-regulated genes (add2 should be TRUE)
Down. ordered by down-regulated genes (add2 should be TRUE)
MultiInstance:
drug. merge based on cmap_name
celldrug. merge based on cmap_name and cell type
conccelldrug. merge based on cmap_name, cell type and concentration
a gene set enrichment heatmap
data(Psoriasis)
annofile <- system.file("extdata", "CmapDn100.gmt.xz", package="cogena")
## Not run:
genecl_result <- coExp(DEexprs, nClust=3, clMethods=c("pam"),
metric="correlation", method="complete", ncore=2, verbose=TRUE)
clen_res1 <- clEnrich(genecl_result, annofile=annofile, sampleLabel=sampleLabel)
heatmapCmap(clen_res1, "pam", "3", orderMethod="2")
heatmapCmap(clen_res1, "pam", "3", orderMethod="2", MultiInstance="concdrug")
## End(Not run)
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