transformation: Distance matrix transformation
In SC3: Single-Cell Consensus Clustering
Description
Usage
Arguments
Value
View source: R/CoreFunctions.R
Description
All distance matrices are transformed using either principal component
analysis (PCA) or by calculating the
eigenvectors of the graph Laplacian (Spectral).
The columns of the resulting matrices are then sorted in
descending order by their corresponding eigenvalues.
Usage
1
transformation(dists, method)
Arguments
dists
distance matrix
method
transformation method: either 'pca' or
'laplacian'
Value
transformed distance matrix
SC3 documentation built on Nov. 8, 2020, 7:52 p.m.
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Description Usage Arguments Value
View source: R/CoreFunctions.R
Description
All distance matrices are transformed using either principal component analysis (PCA) or by calculating the eigenvectors of the graph Laplacian (Spectral). The columns of the resulting matrices are then sorted in descending order by their corresponding eigenvalues.
Usage
1 | transformation(dists, method)
|
Arguments
dists |
distance matrix |
method |
transformation method: either 'pca' or 'laplacian' |
Value
transformed distance matrix
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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