Normalize the count data present in a given assay.
NormalizeData(object, ...) # S3 method for default NormalizeData( object, normalization.method = "LogNormalize", scale.factor = 10000, margin = 1, block.size = NULL, verbose = TRUE, ... ) # S3 method for Assay NormalizeData( object, normalization.method = "LogNormalize", scale.factor = 10000, margin = 1, verbose = TRUE, ... ) # S3 method for Seurat NormalizeData( object, assay = NULL, normalization.method = "LogNormalize", scale.factor = 10000, margin = 1, verbose = TRUE, ... )
object | An object |
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... | Arguments passed to other methods |
normalization.method | Method for normalization.
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scale.factor | Sets the scale factor for cell-level normalization |
margin | If performing CLR normalization, normalize across features (1) or cells (2) |
block.size | How many cells should be run in each chunk, will try to split evenly across threads |
verbose | display progress bar for normalization procedure |
assay | Name of assay to use |
Returns object after normalization