sig.pcs: Discover significant latent variation in data.
In charliex210/sctools: Tools for single cell RNAseq analysis
Description
Usage
Arguments
Value
Description
Calculate statistical significance of latent variation using jackstraw.
Usage
1
Arguments
mat
Gene expression matrix, columns are cells and rows are genes.
B
A number (a positive integer) of resampling iterations.
threshold
A numeric value between 0 and 1 to threshold p-values.
log
Comppute PCA of logarithm.
scale
Scale the gene expression.
Value
Number of significant pcs by permutation parallen analysis.
charliex210/sctools documentation built on Dec. 29, 2021, 11:19 p.m.
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Description Usage Arguments Value
Description
Calculate statistical significance of latent variation using jackstraw.
Usage
1 |
Arguments
mat |
Gene expression matrix, columns are cells and rows are genes. |
B |
A number (a positive integer) of resampling iterations. |
threshold |
A numeric value between 0 and 1 to threshold p-values. |
log |
Comppute PCA of logarithm. |
scale |
Scale the gene expression. |
Value
Number of significant pcs by permutation parallen analysis.
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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