SCtkExperiment | R Documentation |
Create a SCtkExperiment
SCtkExperiment(..., pcaVariances = S4Vectors::DataFrame())
... |
SingleCellExperiment and SummarizedExperiment components |
pcaVariances |
The percent variation contained in each PCA dimension |
A SingleCellExperiment like object with an addition pcaVariances slot.
data("mouseBrainSubsetSCE") counts_mat <- assay(mouseBrainSubsetSCE, "counts") sample_annot <- colData(mouseBrainSubsetSCE) row_annot <- rowData(mouseBrainSubsetSCE) newSCE <- SCtkExperiment(assays=list(counts=counts_mat), colData=sample_annot, rowData=row_annot) newSCE <- getPCA(newSCE, useAssay = "counts") #View the percent variation of the PCA pcaVariances(newSCE)
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