get_PCA: Obtain PCA low dimensional components for dimension reduction...
In shangll123/SpatialPCA: Spatially Aware Dimension Reduction for Spatial Transcriptomics
View source: R/SpatialPCA_utilties.R
get_PCA R Documentation
Obtain PCA low dimensional components for dimension reduction methods comparison.
Description
Obtain PCA low dimensional components for dimension reduction methods comparison.
Usage
get_PCA(expr, PCnum)
Arguments
expr
Normalized gene expression g by n matrix. g is gene number, n is sample size.
PCnum
Number of PCs.
Value
A d by n matrix of low dimensional components from PCA. d is number of low dimensional components, n is sample size.
shangll123/SpatialPCA documentation built on April 17, 2024, 3:15 a.m.
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View source: R/SpatialPCA_utilties.R
| get_PCA | R Documentation |
Obtain PCA low dimensional components for dimension reduction methods comparison.
Description
Obtain PCA low dimensional components for dimension reduction methods comparison.
Usage
get_PCA(expr, PCnum)
Arguments
expr |
Normalized gene expression g by n matrix. g is gene number, n is sample size. |
PCnum |
Number of PCs. |
Value
A d by n matrix of low dimensional components from PCA. d is number of low dimensional components, n is sample size.
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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