scoreSmoothing: Calculate a score for a smoothing result, for picking the...
In BIMSBbioinfo/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
BIMSBbioinfo/netSmooth documentation built on Dec. 24, 2019, 8:08 p.m.
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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.
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