ExtractNormCounts: Extracts scaled counts from Seurat or Pagoda2 objects
In yanwu2014/swne: Similarity Weighted Nonnegative Embedding: A method for visualizing high dimensional datasets
View source: R/data_processing.R
ExtractNormCounts R Documentation
Extracts scaled counts from Seurat or Pagoda2 objects
Description
Extracts scaled counts from Seurat or Pagoda2 objects
Usage
ExtractNormCounts(
obj,
obj.type = "seurat",
rescale.method = "log",
batch = NULL
)
Arguments
obj
Seurat or Pagoda2 object
obj.type
Must be either "seurat" or "pagoda2"
rescale.method
Rescale method, either "log", or "ft"
batch
If rescaling and multiple batches, specify batch
Value
Normalized gene expression matrix
yanwu2014/swne documentation built on Aug. 5, 2023, 4:42 a.m.
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View source: R/data_processing.R
| ExtractNormCounts | R Documentation |
Extracts scaled counts from Seurat or Pagoda2 objects
Description
Extracts scaled counts from Seurat or Pagoda2 objects
Usage
ExtractNormCounts(
obj,
obj.type = "seurat",
rescale.method = "log",
batch = NULL
)
Arguments
obj |
Seurat or Pagoda2 object |
obj.type |
Must be either "seurat" or "pagoda2" |
rescale.method |
Rescale method, either "log", or "ft" |
batch |
If rescaling and multiple batches, specify batch |
Value
Normalized gene expression matrix
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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