compilePCAData: Run PCA on a given matrix, expected to be variance stabilised...
In pinin4fjords/shinyngs: Shiny apps for NGS data
compilePCAData R Documentation
Run PCA on a given matrix, expected to be variance stabilised (at least
log-transformed)
Description
Run PCA on a given matrix, expected to be variance stabilised (at least
log-transformed)
Usage
compilePCAData(matrix, ntop = NULL)
Arguments
matrix
Simple matrix with genes by row and samples by column
ntop
Number of most variable genes to use
Value
a list with keys 'coords' and 'percentVar' providing PCA coordinates
and fractional variance contributions, respectively.
pinin4fjords/shinyngs documentation built on Jan. 18, 2025, 7:09 p.m.
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| compilePCAData | R Documentation |
Run PCA on a given matrix, expected to be variance stabilised (at least log-transformed)
Description
Run PCA on a given matrix, expected to be variance stabilised (at least log-transformed)
Usage
compilePCAData(matrix, ntop = NULL)
Arguments
matrix |
Simple matrix with genes by row and samples by column |
ntop |
Number of most variable genes to use |
Value
a list with keys 'coords' and 'percentVar' providing PCA coordinates and fractional variance contributions, respectively.
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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