SCTAssay-class: The SCTModel Class
In ibseq/scs-analysis: Tools for Single Cell Genomics

Description Usage Arguments Value Slots Get and set SCT model names Creating an SCTAssay from an Assay See Also Examples

The SCTModel object is a model and parameters storage from SCTransform. It can be used to calculate Pearson residuals for new genes.

The SCTAssay object contains all the information found in an Assay object, with extra information from the results of SCTransform

## S3 method for class 'SCTAssay'
levels(x)

## S3 replacement method for class 'SCTAssay'
levels(x) <- value

`x`	An `SCTAssay` object
`value`	New levels, must be in the same order as the levels present

levels: SCT model names

levels<-: x with updated SCT model names

feature.attributes: A data.frame with feature attributes in SCTransform
cell.attributes: A data.frame with cell attributes in SCTransform
clips: A list of two numeric of length two specifying the min and max values the Pearson residual will be clipped to. One for vst and one for SCTransform
umi.assay: Name of the assay of the seurat object containing UMI matrix and the default is RNA
model: A formula used in SCTransform
arguments: other information used in SCTransform
SCTModel.list: A list containing SCT models

SCT results are named by initial run of SCTransform in order to keep SCT parameters straight between runs. When working with merged SCTAssay objects, these model names are important. levels allows querying the models present. levels<- allows the changing of the names of the models present, useful when merging SCTAssay objects. Note: unlike normal levels<-, levels<-.SCTAssay allows complete changing of model names, not reordering.

Creating an `SCTAssay` from an `Assay`

Conversion from an Assay object to an SCTAssay object by is done by adding the additional slots to the object. If from has results generated by SCTransform from Seurat v3.0.0 to v3.1.1, the conversion will automagically fill the new slots with the data

Assay

## Not run: 
# SCTAssay objects are generated from SCTransform
pbmc_small <- SCTransform(pbmc_small)

## End(Not run)

# SCTAssay objects are generated from SCTransform
pbmc_small <- SCTransform(pbmc_small)
pbmc_small[["SCT"]]

## Not run: 
# Query and change SCT model names
levels(pbmc_small[['SCT']])
levels(pbmc_small[['SCT']]) <- '3'
levels(pbmc_small[['SCT']])

## End(Not run)