pcaGenes: pcaGenes
In zhupinglab/Aodav: Advanced omics data analysis and visualization
Description
Usage
Arguments
Examples
Description
use pca method to extract genes with most contributions in first three dimensions. The pca genes could be used as gene list for downstream dimention reduction.
Usage
1
pcaGenes(objs, dim.use = 1:3, gene.num = 100)
Arguments
objs
A list of Seurat objects
dim.use
PCA dimensions used to select genes. default 1:3.
gene.num
Number of genes selected on each PC.
Examples
1
2
3
4
## Not run:
pcaGenes(obj)
## End(Not run)
zhupinglab/Aodav documentation built on June 10, 2019, 2:31 a.m.
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Description Usage Arguments Examples
Description
use pca method to extract genes with most contributions in first three dimensions. The pca genes could be used as gene list for downstream dimention reduction.
Usage
1 | pcaGenes(objs, dim.use = 1:3, gene.num = 100)
|
Arguments
objs |
A list of Seurat objects |
dim.use |
PCA dimensions used to select genes. default 1:3. |
gene.num |
Number of genes selected on each PC. |
Examples
1 2 3 4 | ## Not run:
pcaGenes(obj)
## 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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