scoreSmoothing {netSmooth} | R Documentation

## Calculate a score for a smoothing result, for picking the best alpha value

### Description

Calculate a score for a smoothing result, for picking the best alpha value

### Usage

    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

[Package netSmooth version 1.2.0 Index]