estimate_batch_effect: Estimate Batch Effect Strength (Use in package)
In SlimR: Adaptive Machine Learning-Powered, Context-Matching Tool for Single-Cell and Spatial Transcriptomics Annotation
View source: R/Probability_parameter.R
estimate_batch_effect R Documentation
Estimate Batch Effect Strength (Use in package)
Description
Roughly estimates the potential impact of batch effects
using available metadata.
Usage
estimate_batch_effect(seurat_obj, assay)
Arguments
seurat_obj
Seurat object
assay
Assay name
Value
Batch effect score (0 indicates no detectable batch effect)
See Also
Other Section_1_Functions_Use_in_Package:
calculate_cluster_variability(),
calculate_expression(),
calculate_expression_skewness(),
calculate_probability(),
compute_adaptive_parameters(),
extract_dataset_features()
SlimR documentation built on Feb. 5, 2026, 5:08 p.m.
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View source: R/Probability_parameter.R
| estimate_batch_effect | R Documentation |
Estimate Batch Effect Strength (Use in package)
Description
Roughly estimates the potential impact of batch effects using available metadata.
Usage
estimate_batch_effect(seurat_obj, assay)
Arguments
seurat_obj |
Seurat object |
assay |
Assay name |
Value
Batch effect score (0 indicates no detectable batch effect)
See Also
Other Section_1_Functions_Use_in_Package:
calculate_cluster_variability(),
calculate_expression(),
calculate_expression_skewness(),
calculate_probability(),
compute_adaptive_parameters(),
extract_dataset_features()
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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