logFCmatrixPCA: Perform principal component analysis to the log fold-change...
In bedapub/ribiosNGS: Utilities for next-generation sequencing data analysis in ribios
logFCmatrixPCA R Documentation
Perform principal component analysis to the log fold-change matrix
Description
Perform principal component analysis to the log fold-change matrix
Usage
logFCmatrixPCA(lfc)
Arguments
lfc
A matrix of log2 fold changes, with features in rows and
contrasts in columns
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.
Examples
my_lfc_mat <- matrix(rnorm(1000), nrow=100, ncol=10)
my_lfc_pca <- logFCmatrixPCA(my_lfc_mat)
my_lfc_pca
bedapub/ribiosNGS documentation built on Feb. 10, 2025, 12:34 a.m.
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| logFCmatrixPCA | R Documentation |
Perform principal component analysis to the log fold-change matrix
Description
Perform principal component analysis to the log fold-change matrix
Usage
logFCmatrixPCA(lfc)
Arguments
lfc |
A matrix of log2 fold changes, with features in rows and contrasts in columns |
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.
Examples
my_lfc_mat <- matrix(rnorm(1000), nrow=100, ncol=10)
my_lfc_pca <- logFCmatrixPCA(my_lfc_mat)
my_lfc_pca
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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