dataClust: Generate cell clusters using hierarchical clustering and...
In linquynus/RCAv2-beta: Reference Component Analysis
Description
Usage
Arguments
Value
Description
Generate cell clusters using hierarchical clustering and dynamic tree cutting.
Usage
1
dataClust(rca.obj, deepSplitValues = 1, minClustSize = 5)
Arguments
rca.obj
RCA object.
deepSplitValues
integer vector indicating how deep the dendrogram should be cut. Values can range from 0 to 4.
minClustSize
integer value indicating the minimum size of the resulting clusters. Default is 5.
Value
RCA object.
linquynus/RCAv2-beta documentation built on Aug. 9, 2020, 12:34 a.m.
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Description Usage Arguments Value
Description
Generate cell clusters using hierarchical clustering and dynamic tree cutting.
Usage
1 | dataClust(rca.obj, deepSplitValues = 1, minClustSize = 5)
|
Arguments
rca.obj |
RCA object. |
deepSplitValues |
integer vector indicating how deep the dendrogram should be cut. Values can range from 0 to 4. |
minClustSize |
integer value indicating the minimum size of the resulting clusters. Default is 5. |
Value
RCA object.
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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