getrowColor: hierarchical clustering with number of clusters determined...
In shibiaowan/SHARP: hyperfast and accurate single-cell RNA-Seq data clustering
Description
Usage
Arguments
Examples
Description
This function is to do hierarchical clustering, with the number of clusters determined by a strategy combining Silhouette index, CH index and the heights after hierarchical clustering.
Usage
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getrowColor(
Emat,
hmethod,
indN.cluster,
minN.cluster,
maxN.cluster,
sil.thre,
height.Ntimes,
flashmark
)
Arguments
Emat
the feature matrix whose columns represent the features and whose rows represent data/cells.
Examples
1
rowColor= getrowColor(E1)
shibiaowan/SHARP documentation built on April 28, 2021, 1:56 p.m.
R Package Documentation
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Description Usage Arguments Examples
Description
This function is to do hierarchical clustering, with the number of clusters determined by a strategy combining Silhouette index, CH index and the heights after hierarchical clustering.
Usage
1 2 3 4 5 6 7 8 9 10 | getrowColor(
Emat,
hmethod,
indN.cluster,
minN.cluster,
maxN.cluster,
sil.thre,
height.Ntimes,
flashmark
)
|
Arguments
Emat |
the feature matrix whose columns represent the features and whose rows represent data/cells. |
Examples
1 | rowColor= getrowColor(E1)
|
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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