Description Usage Arguments Value
View source: R/clusterExperimentWorkflow.R
Performs clustering workflow using 'clusterExperiment' functions
1 2 3 4 5 6 7 8 9 10 11 12 | clusterExperimentWorkflow(
se,
dimReduceFlavor = c("pca", "tsne", "dm", "umap"),
cluster.ks = 5:10,
cluster.function = "pam",
nVarDims = c(100, 500, 1000),
makeConsensusProportion = 0.7,
makeConsensusMinSize = 4,
runMergeClusters = TRUE,
is.counts = TRUE,
random.seed = 1
)
|
se |
SummarizedExperiment object |
dimReduceFlavor |
algorithm for reduced dimension embedding step |
cluster.ks |
range of Ks to cluster over |
cluster.function |
clustering algorithm to use for all clusterings |
nVarDims |
numbers of variable genes to perform clusterings over |
makeConsensusProportion |
proportion of times samples need to be co-clustered for co-clustering step |
makeConsensusMinSize |
minimum cluster size |
runMergeClusters |
logical: merge similar clusters |
is.counts |
logical: is data counts |
random.seed |
passed to clusterExperiment. set to NULL in order to not set a random seed. |
cluster assignments
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