citrus.selectClusters.minimumClusterSize: Selects clusters for endpoint analysis
In ParkerICI/kumquat: Identification of stratifying subpopulations in Flow Cytometry Data (based on the Citrus package)
Description
Usage
Arguments
Author(s)
Description
Selects clusters for endpoint analysis by cluster size. Selected clusters must have a minimum number of
cells in them as a proportion of the total number of clustered events. If n total events are clustered,
clusters contatining at least n * minimumClusterSizePercent events are selected.
Usage
1
2
3
4
5
citrus.selectClusters.minimumClusterSize(
citrus.clustering,
minimumClusterSizePercent = 0.05,
...
)
Arguments
citrus.clustering
A citrus.clustering object.
minimumClusterSizePercent
The percentage 0 < x < 1 of the total number of clustered events a cluster
must contain in order to be selected.
...
Other arguments (ignored).
Author(s)
Robert Bruggner
ParkerICI/kumquat documentation built on Dec. 18, 2021, 6:40 a.m.
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Description Usage Arguments Author(s)
Description
Selects clusters for endpoint analysis by cluster size. Selected clusters must have a minimum number of cells in them as a proportion of the total number of clustered events. If n total events are clustered, clusters contatining at least n * minimumClusterSizePercent events are selected.
Usage
1 2 3 4 5 | citrus.selectClusters.minimumClusterSize(
citrus.clustering,
minimumClusterSizePercent = 0.05,
...
)
|
Arguments
citrus.clustering |
A |
minimumClusterSizePercent |
The percentage 0 < x < 1 of the total number of clustered events a cluster must contain in order to be selected. |
... |
Other arguments (ignored). |
Author(s)
Robert Bruggner
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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