NormalizeAndScale | R Documentation |
This is the primary entry point for processing scRNAseq data with Seurat
NormalizeAndScale(
seuratObj,
nVariableFeatures = NULL,
block.size = 1000,
variableGenesWhitelist = NULL,
variableGenesBlacklist = NULL,
featuresToRegress = c(paste0("nCount_", Seurat::DefaultAssay(seuratObj))),
scaleVariableFeaturesOnly = TRUE,
includeCellCycleGenesInScaleData = TRUE,
useSCTransform = FALSE,
additionalFindVariableFeatureArgList = NULL,
scoreCellCycle = TRUE,
useAlternateG2M = FALSE
)
seuratObj |
A Seurat object. |
nVariableFeatures |
The number of variable features, passed to either FindVariableFeatures or SCTransform |
block.size |
Passed directly to ScaleData |
variableGenesWhitelist |
An optional vector of genes that will be included in PCA, beyond the default VariableFeatures() |
variableGenesBlacklist |
An optional vector of genes that will be excluded from PCA, beyond the default VariableFeatures() |
featuresToRegress |
The set of features which will be passed to Seurat::ScaleData vars.to.regress |
scaleVariableFeaturesOnly |
If true, ScaleData will only be performed on VariableFeatures(), which is governed by FindVariableFeatures, variableGenesWhitelist, and variableGenesBlacklist |
includeCellCycleGenesInScaleData |
If true, cell cycle genes will always be included in the features passed to ScaleData(). |
useSCTransform |
If true, SCTransform will be used in place of the standard Seurat workflow (NormalizeData, ScaleData, FindVariableFeatures) |
additionalFindVariableFeatureArgList |
A list of arguments passed directly to FindVariableFeatures |
scoreCellCycle |
If true, ScoreCellCycle will be run to compute Phase, which is stored in meta.data. If a field named Phase already exists, this will be skipped. |
useAlternateG2M |
If true, this will use a smaller set of G2M genes, defined from: https://raw.githubusercontent.com/hbc/tinyatlas/master/cell_cycle/Homo_sapiens.csv |
A modified Seurat object.
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