arseq.pca: Principal Component Analysis
In ajitjohnson/arseq: Automated RNA Sequencing Analysis Pipeline
Description
Usage
Arguments
Value
Examples
Description
Plots any two specified principal components. By default it plots the first two principal components.
Usage
1
arseq.pca(dds, ntop = 500)
Arguments
dds
DESeq2 object
ntop
number of top genes to use for principal components, selected by highest row variance
Value
Eigen vectors of the Principal components
Examples
1
2
3
4
## Not run:
pca.ev <- arseq.pca (example_dds)
## End(Not run)
ajitjohnson/arseq documentation built on Oct. 28, 2021, 3:53 a.m.
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Description Usage Arguments Value Examples
Description
Plots any two specified principal components. By default it plots the first two principal components.
Usage
1 | arseq.pca(dds, ntop = 500)
|
Arguments
dds |
DESeq2 object |
ntop |
number of top genes to use for principal components, selected by highest row variance |
Value
Eigen vectors of the Principal components
Examples
1 2 3 4 | ## Not run:
pca.ev <- arseq.pca (example_dds)
## End(Not run)
|
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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