scoreSmoothing: Calculate a score for a smoothing result, for picking the...
In netSmooth: Network smoothing for scRNAseq
Description
Usage
Arguments
Value
View source: R/scoreSmoothing.R
Description
Calculate a score for a smoothing result, for picking the best alpha value
Usage
1
scoreSmoothing(x, method = c("entropy", "robustness"), is.counts = TRUE, ...)
Arguments
x
the network-smoothed expression matrix
method
the scoring method. 'entropy' calculates shannon entropy
in a 2D PCA of the data. 'robustness' performs robsut
clustering and reports the proportion of samples in
robust clusters
Value
the score
netSmooth documentation built on Nov. 8, 2020, 5:33 p.m.
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.
Description Usage Arguments Value
View source: R/scoreSmoothing.R
Description
Calculate a score for a smoothing result, for picking the best alpha value
Usage
1 | scoreSmoothing(x, method = c("entropy", "robustness"), is.counts = TRUE, ...)
|
Arguments
x |
the network-smoothed expression matrix |
method |
the scoring method. 'entropy' calculates shannon entropy in a 2D PCA of the data. 'robustness' performs robsut clustering and reports the proportion of samples in robust clusters |
Value
the score
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.