calculate_expression_skewness: Calculate Expression Distribution Skewness (Use in package)

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

Calculate Expression Distribution Skewness (Use in package)

Description

Computes the average skewness of gene expression distributions across all features.

Usage

calculate_expression_skewness(expression_matrix)

Arguments

expression_matrix

Matrix of expression values

Value

Mean absolute skewness across all genes

See Also

Other Section_1_Functions_Use_in_Package: calculate_cluster_variability(), calculate_expression(), 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.