ClassifySGSAndApply: ClassifySGSAndApply
In bimberlabinternal/OOSAP: OHSU-ONPRC Single-cell Analysis Package

This will classify cells in a seurat object using a variant of Seurat's AddModuleScore and save the results to the seurat object

ClassifySGSAndApply(
  seuratObj,
  geneList = NULL,
  geneSetName = NULL,
  saveFilePath = NULL,
  doPlot = T,
  positivityThreshold = NULL,
  reduction = NULL
)

`geneList`	A character vector of the genes to test
`geneSetName`	A name to use for this gene list. This will be used in the header of the dataframe
`saveFilePath`	If provided, the dataframe will be saved here
`doPlot`	If true, a QC plot will be created
`positivityThreshold`	If provided, a boolean column will be added to the dataframe scoring cells as positive or negative, depending on if their score is greater than this threshold
`reduction`	The reduction (i.e. tsne or umap) that will be used when plotting