Master function to run preprocessing,phenograph clustering and umap computation
1 2 3 4 5 6 7 8 | run_excyte(
fcs_dir,
downsampling = 3000,
downsampling_umap = NULL,
channels = "all",
method = c("umap-learn", "naive")[1],
k = 30
)
|
fcs_dir |
directory or vector containing fcs files to be used |
downsampling |
numeric indicating the number event to randomly select from each fcs, if the number of events request is bigger than the number of event in the fcs, all event are selected |
downsampling_umap |
numeric indicating the number of events to sample to compute the umap |
channels |
vector containing channels to select. Can be "all" to select all channels, "with_desc" to select channels with a marker description or a vector a channels. |
method |
define if the umap should be computed with the python package (umap-learn) or with the naive R implementation |
k |
numeric indicating the number of neighbor for phenograph and umap computation |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.