estimate_batch_effect: Estimate Batch Effect Strength (Use in package)

In SlimR: Machine Learning-Assisted, Marker-Based Tool for Single-Cell and Spatial Transcriptomics Annotation

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(), extract_dataset_features(), generate_training_data(), postprocess_parameters(), predict_optimal_parameters(), train_parameter_model()

SlimR documentation built on Dec. 17, 2025, 5:09 p.m.