calculate_cluster_variability: Calculate Cluster Variability (Use in package)

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

Calculate Cluster Variability (Use in package)

Description

Measures the degree of separation between different cell clusters based on expression patterns.

Usage

calculate_cluster_variability(data.features, features)

Arguments

data.features	Data frame containing expression data and cluster labels
features	Feature names to include in analysis

Value

Numeric value representing cluster separation strength

See Also

Other Section_1_Functions_Use_in_Package: calculate_expression(), calculate_expression_skewness(), calculate_probability(), estimate_batch_effect(), 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.