Description Usage Arguments Value See Also Examples
Plot FlowSOM trees, where each node is represented by a star chart indicating mean marker values, the size of the node is relative to the mean percentage of cells present in each
1 | PlotGroups(fsom, groups, tresh = NULL, p_tresh = 0.05, heatmap = FALSE, ...)
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fsom |
FlowSOM object, as generated by |
groups |
groups result as generated by |
tresh |
Relative difference in groups before the node is coloured |
p_tresh |
Threshold on p-value from wilcox-test before the node is coloured. If this is not NULL, tresh will be ignored. |
heatmap |
If TRUE, the scores are plotted in a gradient instead of only the selection that passes the threshold |
... |
Other parameters to pass to |
A vector containing the labels assigned to the nodes for all groups except the first
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ## Use the wrapper function to build a flowSOM object (saved in fsom[[1]])
## and a metaclustering (saved in fsom[[2]])
# fsom <- FlowSOM(ff,compensate = FALSE, transform = FALSE,scale = TRUE,
# colsToUse = colsToUse, nClus = 10, silent = FALSE,
# xdim=7, ydim=7)
## Make a list with for each group a list of files
## The reference group should be the first
# groups <- list("C"=file.path(workDir,grep("C",files,value = TRUE)),
# "D"=file.path(workDir,grep("D",files,value=TRUE)))
## Compute the percentages for all groups
# groups_res <- CountGroups(fsom[[1]],groups)
## Plot the groups. For all groups except the first, differences with the
## first group are indicated
# annotation <- PlotGroups(fsom[[1]],groups_res)
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