Description Usage Arguments Value Examples
Perform robust clustering on dataset, and calculate the proportion of samples in robust clusters
1 2 3 4 5 | ## S4 method for signature 'SummarizedExperiment'
robustClusters(x, dimReduceFlavor = "auto", is.counts = TRUE, ...)
## S4 method for signature 'matrix'
robustClusters(x, ...)
|
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' |
list(clusters, proportion.robust)
1 2 | data("smallscRNAseq")
robustClusters(smallscRNAseq, dimReduceFlavor='pca')
|
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