convertTo: Convert to other classes

In MarioniLab/scran: Methods for Single-Cell RNA-Seq Data Analysis

Convert to other classes

Description

Convert a SingleCellExperiment object into other classes for entry into other analysis pipelines.

Usage

convertTo(
  x,
  type = c("edgeR", "DESeq2", "monocle"),
  ...,
  assay.type = 1,
  subset.row = NULL
)

Arguments

x	A SingleCellExperiment object.
type	A string specifying the analysis for which the object should be prepared.
...	Other arguments to be passed to pipeline-specific constructors.
assay.type	A string specifying which assay of x should be put in the returned object.
subset.row	See ?"scran-gene-selection".

Details

This function converts an SingleCellExperiment object into various other classes in preparation for entry into other analysis pipelines, as specified by type.

Value

For type="edgeR", a DGEList object is returned containing the count matrix. Size factors are converted to normalization factors. Gene-specific rowData is stored in the genes element, and cell-specific colData is stored in the samples element.

For type="DESeq2", a DESeqDataSet object is returned containing the count matrix and size factors. Additional gene- and cell-specific data is stored in the mcols and colData respectively.

Author(s)

Aaron Lun

See Also

DGEList, DESeqDataSetFromMatrix for specific class constructors.

Examples

library(scuttle)
sce <- mockSCE()

# Adding some additional embellishments.
sizeFactors(sce) <- 2^rnorm(ncol(sce)) 
rowData(sce)$SYMBOL <- paste0("X", seq_len(nrow(sce)))
sce$other <- sample(LETTERS, ncol(sce), replace=TRUE)

# Converting to various objects.
convertTo(sce, type="edgeR")
convertTo(sce, type="DESeq2")

MarioniLab/scran documentation built on Sept. 7, 2024, 6:25 a.m.