robustClusters: Perform robust clustering on dataset, and calculate the...

Description Usage Arguments Value Examples

Description

Perform robust clustering on dataset, and calculate the proportion of samples in robust clusters

Usage

1
2
3
4
5
## S4 method for signature 'SummarizedExperiment'
robustClusters(x, dimReduceFlavor = "auto", is.counts = TRUE, ...)

## S4 method for signature 'matrix'
robustClusters(x, ...)

Arguments

x

matrix or SummarizedExperiment object

dimReduceFlavor

algorithm for dimensionality reduction step of clustering procedure. May be 'pca', 'tsne', 'dm', 'umap' or 'auto', which uses shannon entropy to pick the algorithm.

is.counts

logical: is the data counts

...

arguments passed on to 'clusterExperimentWorkflow'

Value

list(clusters, proportion.robust)

Examples

1
2
data("smallscRNAseq")
robustClusters(smallscRNAseq, dimReduceFlavor='pca')

BIMSBbioinfo/netSmooth documentation built on Dec. 24, 2019, 8:08 p.m.