process_001_seurat: Performs data processing using Seurat
In johannesnicolaus/ASURAT_source: Assisting Interpretable Classifications in Single-cell Transcriptomics
Description
This function normalizes the data by using NormalizeData() of Seurat package
with the argument normalization.method = LogNormalize, (2) performs variance
stabilizing transform (VST) by using FindVariableFeatures(), setting the
number of variable feature nfeatures, (3) scales the data, and (4) reduce the
dimension by principal component analysis (PCA), using RunPCA() with the
argument: features = VariableFeatures(obj)
Usage
1
process_001_seurat(obj, nfeatures)
Arguments
obj
Seurat object
nfeatures
johannesnicolaus/ASURAT_source documentation built on Dec. 21, 2021, 2:11 a.m.
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Description
This function normalizes the data by using NormalizeData() of Seurat package with the argument normalization.method = LogNormalize, (2) performs variance stabilizing transform (VST) by using FindVariableFeatures(), setting the number of variable feature nfeatures, (3) scales the data, and (4) reduce the dimension by principal component analysis (PCA), using RunPCA() with the argument: features = VariableFeatures(obj)
Usage
1 | process_001_seurat(obj, nfeatures)
|
Arguments
obj |
Seurat object |
nfeatures |
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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