logFCpca: Perform principal component analysis to an EdgeResult object
In bedapub/ribiosNGS: Utilities for next-generation sequencing data analysis in ribios
logFCpca R Documentation
Perform principal component analysis to an EdgeResult object
Description
Perform principal component analysis to an EdgeResult object
Usage
logFCpca(edgeResult)
Arguments
edgeResult
An EdgeResult object
Value
A PCAScoreMatrix object
The function performs principal component analysis (PCA) to the log
fold-change matrix.
By using a column of zeros during the PCA analysis,
which was removed from the final result, the point of origin represents
an ideal contrast which yield absolutely no differential gene expression.
It is easier to interpret the PCA results with this transformation.
See Also
logFCmatrixPCA
Examples
## TODO: add edgeResult sample
bedapub/ribiosNGS documentation built on Feb. 10, 2025, 12:34 a.m.
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| logFCpca | R Documentation |
Perform principal component analysis to an EdgeResult object
Description
Perform principal component analysis to an EdgeResult object
Usage
logFCpca(edgeResult)
Arguments
edgeResult |
An |
Value
A PCAScoreMatrix object
The function performs principal component analysis (PCA) to the log fold-change matrix.
By using a column of zeros during the PCA analysis, which was removed from the final result, the point of origin represents an ideal contrast which yield absolutely no differential gene expression. It is easier to interpret the PCA results with this transformation.
See Also
logFCmatrixPCA
Examples
## TODO: add edgeResult sample
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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