pca_irlba_for_sparseMatrix: Run sparse PCA using irlba SVD
In ChromSCape: Analysis of single-cell epigenomics datasets with a Shiny App
Description
Usage
Arguments
Value
View source: R/preprocessing_filtering_reduction.R
Description
Run sparse PCA using irlba SVD
Usage
1
pca_irlba_for_sparseMatrix(x, n_comp)
Arguments
x
A sparse normalized matrix (features x cells)
n_comp
The number of principal components to keep
Value
The rotated data, e.g. the cells x PC column in case of sc data.
ChromSCape documentation built on Nov. 8, 2020, 6:57 p.m.
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Description Usage Arguments Value
View source: R/preprocessing_filtering_reduction.R
Description
Run sparse PCA using irlba SVD
Usage
1 | pca_irlba_for_sparseMatrix(x, n_comp)
|
Arguments
x |
A sparse normalized matrix (features x cells) |
n_comp |
The number of principal components to keep |
Value
The rotated data, e.g. the cells x PC column in case of sc data.
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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