RunScGateForModels | R Documentation |
Helper function to run scGate, iterating the provided models and generating a consensus field
RunScGateForModels(
seuratObj,
modelNames,
min.cells = 30,
assay = "RNA",
pos.thr = 0.13,
neg.thr = 0.13,
ncores = 1,
genes.blacklist = "default",
labelRename = NULL,
dropAmbiguousConsensusValues = FALSE,
consensusModels = NULL
)
seuratObj |
The seurat object |
modelNames |
A vector of model names to run. They are assumed to be non-overlapping populations |
min.cells |
Passed directly to scGate::scGate. Stop iterating if fewer than this number of cells is left |
assay |
Passed directly to scGate::scGate. Seurat assay to use |
pos.thr |
Passed directly to scGate::scGate. Minimum UCell score value for positive signatures |
neg.thr |
Passed directly to scGate::scGate. Maximum UCell score value for negative signatures |
ncores |
Passed directly to scGate::scGate. Number of processors for parallel processing (requires future.apply) |
genes.blacklist |
Passed directly to scGate::scGate. Genes blacklisted from variable features. The default loads the list of genes in scGate::genes.blacklist.default; you may deactivate blacklisting by setting genes.blacklist=NULL |
labelRename |
An optional list that maps the model name to the final label that should be used in the seurat object. for exmaple: list(Tcell = 'T_NK', NK = 'T_NK'), would re-label cells classified as either 'Tcell' or 'NK' by those models to one common label of T_NK |
dropAmbiguousConsensusValues |
If true, any consensus calls that are ambiguous will be set to NA |
consensusModels |
An optional list of model names to consider for the consensus call. This allows many models to be run, yet only consider a subset when creating the consensus call. This might be useful if some models overlap or produce false-positives. |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.